Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

Ping An (China)

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Papers in the tracked journals with an author at Ping An (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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Key findings#

  • From 2017 to 2026 (so far), authors at Ping An (China) took part in 40 papers in the tracked journals, most of them in AI (30), finance (4) and operations research (3).
  • It ranks #47 among the companies publishing in the tracked journals from 2023 to 2025.
  • 7 of them were published in 2025, against 2 in 2017.
  • Since 2023, the institutions with the most of these papers were Guangdong University of Technology (4), Harbin Institute of Technology (3) and Peng Cheng Laboratory (3).
  • The journals publishing most of them were Information Processing & Management (3), Knowledge-Based Systems (2) and Expert Systems with Applications (2).
  • The most-cited of them is “MASTER: Multi-aspect non-local network for scene text recognition” (Pattern Recognition, 2021), with 197 citations.
  • Since 2023, papers in the tracked journals cited 27 of its papers 191 times; 98% of those links came from papers with a university author and 1% from its own papers.
  • Its own papers since 2023 cite archived papers 119 times, 9% of them papers with a company author.
  • Across everything OpenAlex indexes, Ping An (China) has 1,565 works with 51,430 citations (h-index 86).
  • The tracked journals hold 40 of its 996 works in OpenAlex from 2017 to 2025 (4.0%).
  • Its main research topics in OpenAlex are Topic Modeling (184), Advanced Neural Network Applications (141) and Speech Recognition and Synthesis (124).

Papers per year#

2017: 2 papers2018: 1 paper2019: 2 papers2020: 6 papers2021: 5 papers2022: 3 papers2023: 7 papers2024: 7 papers2025: 7 papers2026 (so far): 0 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI0016536360
Finance1000001110
Operations Research1110000000
Statistics0000000100
Information Systems0000000100
Economics0000000100
All categories2126537770

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Guangdong University of Technology4
2Harbin Institute of Technology3
3Peng Cheng Laboratory3
4Shanghai Jiao Tong University3
5Beijing Institute of Technology2
6Beijing University of Technology2
7Huazhong University of Science and Technology2
8Ruijin Hospital2
9Tsinghua Shenzhen International Graduate School2
Countries with the most papers, since 2023
#CountryPapers
1China21
2Australia1
3Germany1
4Hong Kong1
5Singapore1
6United States1
Keywords with the most papers, since 2023
#KeywordPapers
1contrastive learning4
2graph neural networks3
3multi-view clustering3
4Chinese listed companies2
5Chinese named entity recognition2
6R&D investment2
7corporate innovation2
8decision boundaries2
9visual question answering2
10CLIP1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
11973.0MASTER: Multi-aspect non-local network for scene text recognitionPattern Recognition2021-04-15Ning Lü, Wenwen Yu, Xianbiao Qi et al.
21661.9Drivers and outcomes of supply chain finance adoption: An empirical investigation in ChinaInternational Journal of Production Economics2019-07-27Zhiqiang Wang, Qiang Wang, Yin Lai et al.
3911.2Fast infrared and visible image fusion with structural decompositionKnowledge-Based Systems2020-06-27Hui Li, Xianbiao Qi, Wuyuan Xie
4621.1Molecular substructure graph attention network for molecular property identification in drug discoveryPattern Recognition2022-03-17Xian-bin Ye, Quanlong Guan, Weiqi Luo et al.
5532.4Deep multi-view clustering with diverse and discriminative feature learningPattern Recognition2025-01-01Junpeng Xu, Min Meng, Jigang Liu et al.
6471.3What is the limitation of multimodal LLMs? A deeper look into multimodal LLMs through prompt probingInformation Processing & Management2023-09-26Shuhan Qi, Zhengying Cao, Jun Rao et al.
7320.9MITER: Medical Image–TExt joint adaptive pretRaining with multi-level contrastive learningExpert Systems with Applications2023-10-10Chang Shu, Yi Zhu, Xiaochu Tang et al.
8300.4Block-term tensor neural networksNeural Networks2020-06-07Jinmian Ye, Guangxi Li, Di Chen et al.
9270.2Competition in the multi-sided platform market channelInternational Journal of Production Economics2017-04-07Renato de Matta, Timothy J. Lowe, Dengfeng Zhang
10230.3Wasserstein autoencoders for collaborative filteringNeural Computing and Applications2020-07-13Xiaofeng Zhang, Jingbin Zhong, Kai Liu

Who cites its research#

Institutions whose papers cite it most, since 2023
#InstitutionKindCountryLinks
1Chinese Academy of SciencesGovernmentChina7
2Chongqing University of Posts and TelecommunicationsUniversityChina6
3Jiangnan UniversityUniversityChina6
4Beijing Institute of TechnologyUniversityChina6
5Wuhan UniversityUniversityChina6
6East China Normal UniversityUniversityChina6
7Zhejiang UniversityUniversityChina6
8Nanjing University of Aeronautics and AstronauticsUniversityChina6
9Shanghai UniversityUniversityChina5
10University of Technology SydneyUniversityAustralia5

What its papers cite#

Institutions its papers cite most, since 2023
#InstitutionKindCountryLinks
1Harbin Institute of TechnologyUniversityChina14
2Northwestern Polytechnical UniversityUniversityChina8
3Sun Yat-sen UniversityUniversityChina7
4Chinese Academy of SciencesGovernmentChina6
5Huazhong University of Science and TechnologyUniversityChina6
6Zhejiang UniversityUniversityChina5
7Beijing Institute of TechnologyUniversityChina4
8University of ConnecticutUniversityUnited States4
9Institute of AutomationResearch facilityChina4
10Peng Cheng LaboratoryResearch facilityChina4

Citation links inside the tracked journals; see the corporate citation network and industry–university links.

In OpenAlex#

Ping An (China) in OpenAlex
ItemValue
TypeCompany
LocationShenzhen, China
Also known asChina Ping An, Ping An, 中国平安
Works in OpenAlex1,565
Citations51,430
h-index86
i10-index1,201
2-year mean citedness3.86
Websitewww.pingan.com
RORror.org/004yv2z91
OpenAlexopenalex.org/I4401726822
Main research topics (OpenAlex, all works)
#TopicFieldWorks
1Topic ModelingComputer Science184
2Advanced Neural Network ApplicationsComputer Science141
3Speech Recognition and SynthesisComputer Science124
4Domain Adaptation and Few-Shot LearningComputer Science120
5Speech and Audio ProcessingComputer Science108
Works and citations per year in OpenAlex, and its papers in the tracked journals
YearWorks in OpenAlexCitations receivedIn the tracked journalsShare
2026 (so far)703,10800.0%
2025944,44577.4%
20241393,82775.0%
20231302,82575.4%
20221622,35331.9%
20212131,76052.3%
202014771464.1%
20198321222.4%
20182211014.5%
2017683233.3%

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.

Cite this page

Scholar4AI. (2026). Ping An (China). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/companies/ping-an-china

@misc{scholar4ai-companies-ping-an-china,
  author = {{Scholar4AI}},
  title = {Ping An (China)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/ping-an-china}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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