---
title: "Peng Cheng Laboratory: research profile and papers"
description: "Research profile of Peng Cheng Laboratory: 820 papers in 480 tracked journals since 2017, mostly AI and operations research; h-index 266."
url: https://scholar4ai.com/institutions/peng-cheng-laboratory
markdown_url: https://scholar4ai.com/institutions/peng-cheng-laboratory.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Research profile of Peng Cheng Laboratory: 820 papers in 480 tracked journals since 2017, mostly AI and operations research; h-index 266. (as of 2026-11-04)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-04T00:03:46+09:00
window: 2026-10-06 to 2026-11-04
source: OpenAlex (CC0)
---

# Peng Cheng Laboratory

- 0 papers in the last 7 days
- country: China
- web domain: pcl.ac.cn

Back to the ranking: https://scholar4ai.com/rankings/institutions.md

## Key findings

- Peng Cheng Laboratory was involved in 5 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #385 of 3,828 institutions.
- Most of them appeared in Information Fusion (1), International Journal of Computer Vision (1) and Neural Networks (1).
- Countries: China (5), Australia (1) and Macao (1).
- From 2017 to 2026 (so far), authors at Peng Cheng Laboratory took part in 820 papers in the tracked journals, most of them in AI (784), operations research (28) and information systems (4).
- 112 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Harbin Institute of Technology (106), Peking University (67) and Chinese Academy of Sciences (59).
- The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (75), Pattern Recognition (70) and IEEE Transactions on Neural Networks and Learning Systems (49).
- The most-cited of them is “A Survey on Multi-Task Learning” (IEEE Transactions on Knowledge and Data Engineering, 2021), with 2,909 citations.
- Across everything OpenAlex indexes, Peng Cheng Laboratory has 15,697 works with 604,355 citations (h-index 266).
- The tracked journals hold 712 of its 13,819 works in OpenAlex from 2017 to 2025 (5.2%).
- Its main research topics in OpenAlex are Advanced Neural Network Applications (1,983), Domain Adaptation and Few-Shot Learning (1,131) and Topic Modeling (921).

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 1 | 32 | 72 | 89 | 139 | 121 | 120 | 107 | 103 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 2 | 0 | 2 | 4 | 5 | 6 | 4 | 5 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 0 | 1 | 34 | 72 | 91 | 143 | 127 | 132 | 112 | 108 |

## Where the papers come from and its co-authors

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 75 |
| 2 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 70 |
| 3 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 49 |
| 4 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 41 |
| 5 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 41 |
| 6 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 37 |
| 7 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 35 |
| 8 | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 20 |
| 9 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 15 |
| 10 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 13 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Harbin Institute of Technology](https://scholar4ai.com/institutions/harbin-institute-of-technology.md) | 106 |
| 2 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 67 |
| 3 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 59 |
| 4 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 48 |
| 5 | [South China University of Technology](https://scholar4ai.com/institutions/south-china-university-of-technology.md) | 47 |
| 6 | [Sun Yat-sen University](https://scholar4ai.com/institutions/sun-yat-sen-university.md) | 39 |
| 7 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 38 |
| 8 | Tsinghua Shenzhen International Graduate School | 33 |
| 9 | [Southern University of Science and Technology](https://scholar4ai.com/institutions/southern-university-of-science-and-technology.md) | 25 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 479 |
| 2 | Hong Kong | 59 |
| 3 | Singapore | 32 |
| 4 | United States | 22 |
| 5 | Australia | 18 |
| 6 | United Kingdom | 15 |
| 7 | Canada | 9 |
| 8 | Macao | 7 |
| 9 | South Korea | 5 |
| 10 | United Arab Emirates | 4 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 20 |
| 2 | [multimodal fusion](https://scholar4ai.com/keywords/multimodal-fusion.md) | 18 |
| 3 | [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) | 16 |
| 4 | [image classification](https://scholar4ai.com/keywords/image-classification.md) | 15 |
| 5 | adversarial robustness | 13 |
| 6 | [class imbalance](https://scholar4ai.com/keywords/class-imbalance.md) | 12 |
| 7 | [self-supervised learning](https://scholar4ai.com/keywords/self-supervised-learning.md) | 12 |
| 8 | spiking neural networks | 11 |
| 9 | continual learning | 10 |
| 10 | [domain generalization](https://scholar4ai.com/keywords/domain-generalization.md) | 10 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 2,909 | 43.3 | [A Survey on Multi-Task Learning](https://doi.org/10.1109/tkde.2021.3070203) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2021-03-31 | Yu Zhang, Qiang Yang |
| 2 | 1,833 | 20.4 | [NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding](https://doi.org/10.1109/tpami.2019.2916873) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2019-05-14 | Jun Liu, Amir Shahroudy, Mauricio Pérez et al. |
| 3 | 1,090 | 14.5 | [Deep learning on image denoising: An overview](https://doi.org/10.1016/j.neunet.2020.07.025) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 2020-08-05 | Chunwei Tian, Lunke Fei, Wenxian Zheng et al. |
| 4 | 950 | 19.9 | [A Survey on Deep Semi-Supervised Learning](https://doi.org/10.1109/tkde.2022.3220219) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2022-11-08 | Xiangli Yang, Zixing Song, Irwin King et al. |
| 5 | 688 | 8.4 | [Attention-guided CNN for image denoising](https://doi.org/10.1016/j.neunet.2019.12.024) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 2020-01-07 | Chunwei Tian, Yong Dong Xu, Zuoyong Li et al. |
| 6 | 683 | 13.0 | [Backdoor Learning: A Survey](https://doi.org/10.1109/tnnls.2022.3182979) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2022-06-22 | Yiming Li, Yong Jiang, Zhifeng Li et al. |
| 7 | 595 | 6.9 | [Image denoising using deep CNN with batch renormalization](https://doi.org/10.1016/j.neunet.2019.08.022) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 2019-09-05 | Chunwei Tian, Yong Dong Xu, Wangmeng Zuo |
| 8 | 536 | 8.9 | [Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks](https://doi.org/10.1016/j.knosys.2021.107643) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2021-10-28 | Bin Liang, Hang Su, Lin Gui et al. |
| 9 | 533 | 17.9 | [A survey on imbalanced learning: latest research, applications and future directions](https://doi.org/10.1007/s10462-024-10759-6) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-05-09 | Wuxing Chen, Kaixiang Yang, Zhiwen Yu et al. |
| 10 | 459 | 5.3 | [Infrared and visible image fusion via detail preserving adversarial learning](https://doi.org/10.1016/j.inffus.2019.07.005) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2019-07-22 | Jiayi Ma, Pengwei Liang, Wei Yu et al. |

## In OpenAlex

*Peng Cheng Laboratory in OpenAlex*

| Item | Value |
|---|---|
| Type | Research facility |
| Location | Shenzhen, Guangdong, China |
| Also known as | Shenzhen Cyberspace Science and Technology Laboratory, 鹏城实验室 |
| Works in OpenAlex | 15,697 |
| Citations | 604,355 |
| h-index | 266 |
| i10-index | 10,650 |
| 2-year mean citedness | 5.46 |
| Website | [www.pcl.ac.cn](http://www.pcl.ac.cn) |
| ROR | [ror.org/03qdqbt06](https://ror.org/03qdqbt06) |
| OpenAlex | [openalex.org/I4210136793](https://openalex.org/I4210136793) |

*Works and citations per year in OpenAlex, and its papers in the tracked journals*

| Year | Works in OpenAlex | Citations received | In the tracked journals | Share |
|---|---:|---:|---:|---:|
| 2026 (so far) | 1,868 | 62,145 | 108 | 5.8% |
| 2025 | 2,221 | 94,259 | 112 | 5.0% |
| 2024 | 2,306 | 83,470 | 132 | 5.7% |
| 2023 | 2,692 | 59,886 | 127 | 4.7% |
| 2022 | 2,460 | 37,881 | 143 | 5.8% |
| 2021 | 1,954 | 23,683 | 91 | 4.7% |
| 2020 | 1,404 | 8,986 | 72 | 5.1% |
| 2019 | 753 | 1,221 | 34 | 4.5% |
| 2018 | 28 | 133 | 1 | 3.6% |
| 2017 | 1 | 49 | 0 | 0.0% |

*Main research topics (OpenAlex, all works)*

| # | Topic | Field | Works |
|---:|---|---|---:|
| 1 | Advanced Neural Network Applications | Computer Science | 1,983 |
| 2 | Domain Adaptation and Few-Shot Learning | Computer Science | 1,131 |
| 3 | Topic Modeling | Computer Science | 921 |
| 4 | Multimodal Machine Learning Applications | Computer Science | 915 |
| 5 | IoT and Edge/Fog Computing | Computer Science | 827 |

From OpenAlex's own record of the institution (CC0), read again monthly. Works and citations count everything OpenAlex indexes, not only the tracked journals; topics are OpenAlex's classification of those works.

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-28 | [Multi-classifier fusion of sparse neural networks via regularization-induced diversity](https://doi.org/10.1016/j.inffus.2026.104900) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | Yuhang Wang, Jie Xu, Bin Zou et al. | Yangtze University; Peng Cheng Laboratory; Hubei University; … |
| 2026-10-17 | [CorrCLIPv2: Harnessing Unlabeled Images for Open-Vocabulary Semantic Segmentation](https://doi.org/10.1007/s11263-026-03027-3) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | D H Zhang, Fagui Liu, Quan Tang et al. | South China University of Technology; Peng Cheng Laboratory |
| 2026-10-14 | [A single-loop bilevel deep learning method for optimal control of obstacle problems](https://doi.org/10.1016/j.neunet.2026.109761) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Yongcun Song, Shangzhi Zeng, Jin Zhang et al. | Nanyang Technological University; Southern University of Science and Technology; Peng Cheng Laboratory |
| 2026-10-10 | [Enhancing session-based recommendation via large language models: A counterfactual method](https://doi.org/10.1016/j.knosys.2026.117166) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Xinglong Wu, Sheng Yin, Yu Tai et al. | Anhui University of Science and Technology; Harbin Institute of Technology; Peng Cheng Laboratory |
| 2026-10-07 | [Transformation-response geometry for test-time defense in 3D vision-language models](https://doi.org/10.1016/j.patrec.2026.10.008) | [Pattern Recognition Letters](https://scholar4ai.com/journals/pattern-recognition-letters.md) | Xuanxiang Lin, Yan Huang, Kangjun Liu et al. | South China University of Technology; Peng Cheng Laboratory |

## Cite this page

Scholar4AI. (2026). Peng Cheng Laboratory. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/institutions/peng-cheng-laboratory

```bibtex
@misc{scholar4ai-institutions-peng-cheng-laboratory,
  author = {{Scholar4AI}},
  title = {Peng Cheng Laboratory},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/institutions/peng-cheng-laboratory}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).