Fundamental Research Funds for the Central Universities

Papers in the tracked journals that name Fundamental Research Funds for the Central Universities as a funder. Funders are the organisations OpenAlex links to a paper from its funding information (Crossref metadata and the paper's acknowledgements); a paper counts once for each funder it names. Grant numbers are not shown. Also as Markdown.

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Key findings#

From 2017 to 2026 (so far), Fundamental Research Funds for the Central Universities was named as a funder of 10,040 papers in the tracked journals, most of them in AI (4,792), operations research (1,685) and economics (1,191).
It ranks #2 among the funders of the tracked journals' papers from 2023 to 2025.
1,961 of them were published in 2025, against 338 in 2017.
Since 2023, the institutions with the most of these papers were Xidian University (243), Beijing Jiaotong University (240) and Chongqing University (226).
The journals publishing most of them were Expert Systems with Applications (604), Pattern Recognition (347) and Knowledge-Based Systems (333).
The most-cited of them is “A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects” (IEEE Transactions on Neural Networks and Learning Systems, 2021), with 5,262 citations.

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	138	179	281	380	418	495	570	646	1,011	674
Operations Research	73	83	111	169	137	182	200	235	286	209
Economics	51	59	102	149	92	96	134	144	210	154
Finance	20	29	63	70	75	121	143	164	222	129
Management	14	11	33	34	40	39	48	43	71	51
Information Systems	11	12	31	23	12	28	42	30	43	33
Statistics	19	24	23	24	19	11	26	22	30	33
Tourism and Hospitality	2	9	13	15	23	17	15	23	35	23
Higher Education and Research	4	5	5	10	10	10	14	14	15	12
Marketing	3	3	10	9	12	5	12	13	15	13
Accounting	3	3	3	6	2	6	5	10	20	9
Health Economics and Policy	0	1	0	2	1	1	3	4	3	5
All categories	338	418	675	891	841	1,011	1,212	1,348	1,961	1,345

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Expert Systems with Applications	604
2	Pattern Recognition	347
3	Knowledge-Based Systems	333
4	IEEE Transactions on Neural Networks and Learning Systems	268
5	IEEE Transactions on Pattern Analysis and Machine Intelligence	238
6	Neural Networks	205
7	Information Fusion	192
8	Transportation Research Part E Logistics and Transportation Review	151
9	IEEE Transactions on Knowledge and Data Engineering	144
10	Finance research letters	139

Institutions with the most papers, since 2023
#	Institution	Papers
1	Xidian University	243
2	Beijing Jiaotong University	240
3	Chongqing University	226
4	Northeastern University	222
5	Hefei University of Technology	218
6	Tongji University	201
7	Dalian University of Technology	190
8	Beihang University	188
9	Xi'an Jiaotong University	187
10	Huazhong University of Science and Technology	182

Countries with the most papers, since 2023
#	Country	Papers
1	China	5,797
2	United States	435
3	Hong Kong	318
4	United Kingdom	289
5	Australia	239
6	Singapore	152
7	Canada	103
8	Macao	94
9	France	53
10	Netherlands	53

Keywords with the most papers, since 2023
#	Keyword	Papers
1	China	344
2	Chinese listed companies	156
3	contrastive learning	115
4	financial constraints	112
5	large language models	112
6	state-owned enterprises	101
7	graph neural networks	98
8	corporate governance	95
9	attention mechanism	83
10	knowledge distillation	78

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	5,262	81.3	A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects	IEEE Transactions on Neural Networks and Learning Systems	2021-06-10	Zewen Li, Fan Liu, Wenjie Yang et al.
2	1,270	14.8	Underwater scene prior inspired deep underwater image and video enhancement	Pattern Recognition	2019-09-05	Chongyi Li, Saeed Anwar, Fatih Porikli
3	1,230	20.8	A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications	IEEE Transactions on Knowledge and Data Engineering	2021-11-23	Jie Gui, Zhenan Sun, Yonggang Wen et al.
4	1,007	11.4	Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data	Technological Forecasting and Social Change	2019-06-17	Kerui Du, Pengzhen Li, Zheming Yan
5	990	14.2	Artificial intelligence in education: The three paradigms	Computers and Education Artificial Intelligence	2021-01-01	Fan Ouyang, Pengcheng Jiao
6	961	11.3	The impact of digital finance on household consumption: Evidence from China	Economic Modelling	2019-09-21	Jie Li, Yu Wu, Jing Jian Xiao
7	845	11.5	Deep Learning for Spatio-Temporal Data Mining: A Survey	IEEE Transactions on Knowledge and Data Engineering	2020-09-22	Senzhang Wang, Jiannong Cao, Philip S. Yu
8	772	11.2	Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting	IEEE Transactions on Knowledge and Data Engineering	2021-02-03	Shengnan Guo, Youfang Lin, Huaiyu Wan et al.
9	768	9.0	Institutional quality, green innovation and energy efficiency	Energy Policy	2019-09-27	Huaping Sun, Bless Kofi Edziah, Chuanwang Sun et al.
10	745	9.8	A Coevolutionary Framework for Constrained Multiobjective Optimization Problems	IEEE Transactions on Evolutionary Computation	2020-06-22	Ye Tian, Tao Zhang, Jianhua Xiao et al.

Cite this page

Scholar4AI. (2026). Fundamental Research Funds for the Central Universities. Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/funders/fundamental-research-funds-for-the-central-universities

@misc{scholar4ai-funders-fundamental-research-funds-for-the-central-universities,
  author = {{Scholar4AI}},
  title = {Fundamental Research Funds for the Central Universities},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/funders/fundamental-research-funds-for-the-central-universities}},
  urldate = {2026-10-31},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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