Jingdong (China)

Papers in the tracked journals with an author at Jingdong (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.

← Corporate research

Key findings#

From 2017 to 2026 (so far), authors at Jingdong (China) took part in 252 papers in the tracked journals, most of them in AI (227), operations research (15) and information systems (4).
It ranks #4 among the companies publishing in the tracked journals from 2023 to 2025.
35 of them were published in 2025, against 4 in 2017.
Since 2023, the institutions with the most of these papers were The University of Sydney (35), Wuhan University (22) and Southwest Jiaotong University (18).
The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (24), IEEE Transactions on Neural Networks and Learning Systems (19) and IEEE Transactions on Knowledge and Data Engineering (17).
The most-cited of them is “A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications” (IEEE Transactions on Knowledge and Data Engineering, 2021), with 1,230 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	3	6	12	12	24	38	59	33	32	8
Operations Research	1	0	1	1	1	3	2	0	1	5
Information Systems	0	0	0	0	2	1	0	1	0	0
Management	0	0	1	1	0	0	0	0	1	0
Economics	0	0	0	1	0	0	0	0	0	0
Statistics	0	0	0	0	0	0	0	0	0	1
Finance	0	0	0	0	0	0	0	0	1	0
All categories	4	6	14	15	27	42	61	34	35	14

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	IEEE Transactions on Pattern Analysis and Machine Intelligence	24
2	IEEE Transactions on Neural Networks and Learning Systems	19
3	IEEE Transactions on Knowledge and Data Engineering	17
4	International Journal of Computer Vision	16
5	Neural Networks	14
6	Knowledge-Based Systems	10
7	Information Fusion	8
8	Pattern Recognition	7
9	Artificial Intelligence	4
10	Expert Systems with Applications	4

Institutions with the most papers, since 2023
#	Institution	Papers
1	The University of Sydney	35
2	Wuhan University	22
3	Southwest Jiaotong University	18
4	Nanyang Technological University	14
5	Sun Yat-sen University	13
6	University of Science and Technology of China	12
7	Beijing Institute of Technology	11
8	National University of Defense Technology	11
9	Southwestern University of Finance and Economics	9

Countries with the most papers, since 2023
#	Country	Papers
1	China	144
2	Australia	45
3	United States	22
4	Singapore	17
5	Hong Kong	9
6	United Kingdom	6
7	United Arab Emirates	2
8	Canada	1
9	Switzerland	1
10	Germany	1

Keywords with the most papers, since 2023
#	Keyword	Papers
1	graph neural networks	11
2	large language models	9
3	data scarcity	6
4	image classification	6
5	attention mechanism	5
6	contrastive learning	5
7	federated learning	5
8	transformer models	5
9	vision transformer	5
10	catastrophic forgetting	4

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	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.
2	758	13.8	Contextual Transformer Networks for Visual Recognition	IEEE Transactions on Pattern Analysis and Machine Intelligence	2022-04-01	Yehao Li, Ting Yao, Yingwei Pan et al.
3	586	16.6	Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey	IEEE Transactions on Knowledge and Data Engineering	2023-11-23	Guangyin Jin, Yuxuan Liang, Yuchen Fang et al.
4	573	20.1	A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends	IEEE Transactions on Pattern Analysis and Machine Intelligence	2024-06-17	Jie Gui, Tuo Chen, Jing Zhang et al.
5	523	5.1	Predicting citywide crowd flows using deep spatio-temporal residual networks	Artificial Intelligence	2018-03-19	Junbo Zhang, Yu Zheng, Dekang Qi et al.
6	406	4.1	Deep Collaborative Embedding for Social Image Understanding	IEEE Transactions on Pattern Analysis and Machine Intelligence	2018-07-04	Zechao Li, Jinhui Tang, Tao Mei
7	328	3.5	Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning	IEEE Transactions on Knowledge and Data Engineering	2019-01-09	Junbo Zhang, Yu Zheng, Junkai Sun et al.
8	301	3.7	Urban flow prediction from spatiotemporal data using machine learning: A survey	Information Fusion	2020-01-10	Peng Xie, Tianrui Li, Jia Liu et al.
9	299	4.2	Multi-source information fusion based on rough set theory: A review	Information Fusion	2020-11-14	Pengfei Zhang, Tianrui Li, Guoqiang Wang et al.
10	281	3.2	Ecosystem-specific advantages in international digital commerce	Journal of International Business Studies	2019-08-15	Jiatao Li, Liang Chen, Jingtao Yi et al.

Cite this page

Scholar4AI. (2026). Jingdong (China). Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/companies/jingdong-china

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

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