Scholar4AI Updated 2026-10-31 19:11 UTC+09:00

China United Network Communications Group (China)

Papers in the tracked journals with an author at China United Network Communications Group (China): per year and category, where they are published, the institutions its researchers write with, and its most-cited papers. A paper counts as corporate when at least one of its authors is affiliated with an institution that OpenAlex classifies as a company; it counts once for each company among its authors' affiliations. Universities are the institutions OpenAlex classifies as education. Also as Markdown.

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← Corporate research

Key findings#

  • From 2017 to 2026 (so far), authors at China United Network Communications Group (China) took part in 54 papers in the tracked journals, most of them in AI (46), operations research (5) and information systems (2).
  • It ranks #24 among the companies publishing in the tracked journals from 2023 to 2025.
  • 22 of them were published in 2025, against 1 in 2017.
  • Since 2023, the institutions with the most of these papers were Fuzhou University (6), Chinese Academy of Sciences (5) and Beijing Jiaotong University (4).
  • The journals publishing most of them were Expert Systems with Applications (7), Knowledge-Based Systems (5) and Information Fusion (5).
  • The most-cited of them is “A survey on face data augmentation for the training of deep neural networks” (Neural Computing and Applications, 2020), with 141 citations.

Papers per year#

2017: 1 paper2018: 1 paper2019: 2 papers2020: 1 paper2021: 2 papers2022: 2 papers2023: 3 papers2024: 9 papers2025: 22 papers2026 (so far): 11 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI11112229189
Operations Research0000001022
Information Systems0010000010
Economics0000000010
All categories112122392211

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Fuzhou University6
2Chinese Academy of Sciences5
3Beijing Jiaotong University4
4Chang'an University3
5Hainan University3
6Technical University of Munich3
7University of Chile3
8Beihang University2
9Beijing Normal University2
Countries with the most papers, since 2023
#CountryPapers
1China45
2United Kingdom4
3Chile3
4Germany3
5Netherlands2
6United States2
7Canada1
8Spain1
9Hong Kong1
10Japan1
Keywords with the most papers, since 2023
#KeywordPapers
1attention mechanism3
2graph neural networks3
3large language models3
4multi-view learning3
5weakly supervised learning3
6adoption factors2
7data privacy2
8ensemble learning2
9feature fusion2
10federated learning2

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
11411.8A survey on face data augmentation for the training of deep neural networksNeural Computing and Applications2020-03-17Xiang Wang, Kai Wang, Shiguo Lian
2593.2Heterogeneous Mutual Knowledge Distillation for Wearable Human Activity RecognitionIEEE Transactions on Neural Networks and Learning Systems2025-04-15Zhiwen Xiao, Huanlai Xing, Rong Qu et al.
3571.9Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learningKnowledge and Information Systems2024-04-25Ji Liu, Chunlu Chen, Yu Li et al.
4541.1DeleSmell: Code smell detection based on deep learning and latent semantic analysisKnowledge-Based Systems2022-08-22Yang Zhang, Chuyan Ge, Shuai Hong et al.
5501.7Real-time fusion multi-tier DNN-based collaborative IDPS with complementary features for secure UAV-enabled 6G networksExpert Systems with Applications2024-05-15Hassan Jalil Hadi, Yue Cao, Sifan Li et al.
6502.2Multidimensional fusion of frequency and spatial domain information for enhanced camouflaged object detectionInformation Fusion2024-12-13Tingran Wang, Zaiyang Yu, Jianwei Fang et al.
7391.7PATNAS: A Path-Based Training-Free Neural Architecture SearchIEEE Transactions on Pattern Analysis and Machine Intelligence2024-11-14Jiechao Yang, Yong Liu, Wei Wang et al.
8290.7Trusted emotion recognition based on multiple signals captured from videoExpert Systems with Applications2023-07-11Junjie Zhang, Kun Zheng, Sarah Mazhar et al.
9291.33D-Guided Multi-Feature semantic enhancement network for person re-IDInformation Fusion2024-12-11Enhao Ning, Wenfa Li, Jianwei Fang et al.
10260.3The user preference identification for product improvement based on online comment patchElectronic Commerce Research2019-08-14Shugang Li, Yuqi Zhang, Yueming Li et al.
Cite this page

Scholar4AI. (2026). China United Network Communications Group (China). Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/companies/china-united-network-communications-group-china

@misc{scholar4ai-companies-china-united-network-communications-group-china,
  author = {{Scholar4AI}},
  title = {China United Network Communications Group (China)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/china-united-network-communications-group-china}},
  urldate = {2026-10-31},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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