Microsoft Research Asia (China)

Papers in the tracked journals with an author at Microsoft Research Asia (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 Microsoft Research Asia (China) took part in 168 papers in the tracked journals, most of them in AI (166), higher education and research (1) and operations research (1).
It ranks #16 among the companies publishing in the tracked journals from 2023 to 2025.
19 of them were published in 2025, against 13 in 2017.
Since 2023, the institutions with the most of these papers were University of Science and Technology of China (12), Chinese Academy of Sciences (10) and University of Chinese Academy of Sciences (8).
The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (22), IEEE Transactions on Knowledge and Data Engineering (10) and International Journal of Computer Vision (8).
The most-cited of them is “Deep High-Resolution Representation Learning for Visual Recognition” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020), with 4,889 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	13	14	17	16	22	19	21	19	19	6
Higher Education and Research	0	0	0	0	0	0	0	1	0	0
Operations Research	0	0	0	1	0	0	0	0	0	0
All categories	13	14	17	17	22	19	21	20	19	6

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	IEEE Transactions on Pattern Analysis and Machine Intelligence	22
2	IEEE Transactions on Knowledge and Data Engineering	10
3	International Journal of Computer Vision	8
4	IEEE Transactions on Neural Networks and Learning Systems	7
5	Pattern Recognition	6
6	Nature Machine Intelligence	4
7	Artificial Intelligence	2
8	Knowledge-Based Systems	2
9	Expert Systems with Applications	2
10	Machine Learning	1

Institutions with the most papers, since 2023
#	Institution	Papers
1	University of Science and Technology of China	12
2	Chinese Academy of Sciences	10
3	University of Chinese Academy of Sciences	8
4	Microsoft (United States)	7
5	Peking University	5
6	Renmin University of China	5
7	Tsinghua University	5
8	University of Illinois Chicago	5
9	Fudan University	4

Countries with the most papers, since 2023
#	Country	Papers
1	China	66
2	United States	20
3	Hong Kong	6
4	Germany	3
5	Singapore	3
6	Australia	2
7	United Kingdom	2
8	Japan	2
9	South Korea	2
10	United Arab Emirates	1

Keywords with the most papers, since 2023
#	Keyword	Papers
1	graph neural networks	4
2	overfitting	4
3	diffusion models	3
4	document layout analysis	3
5	knowledge distillation	3
6	object detection	3
7	semi-supervised learning	3
8	zero-shot learning	3
9	CLIP	2
10	approximation algorithms	2

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	4,889	61.9	Deep High-Resolution Representation Learning for Visual Recognition	IEEE Transactions on Pattern Analysis and Machine Intelligence	2020-04-01	Jingdong Wang, Ke Sun, Tianheng Cheng et al.
2	1,858	30.0	FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking	International Journal of Computer Vision	2021-09-03	Yifu Zhang, Chunyu Wang, Xinggang Wang et al.
3	1,253	16.1	Deep Subdomain Adaptation Network for Image Classification	IEEE Transactions on Neural Networks and Learning Systems	2020-05-04	Yongchun Zhu, Fuzhen Zhuang, Jindong Wang et al.
4	1,044	18.0	Generalizing to Unseen Domains: A Survey on Domain Generalization	IEEE Transactions on Knowledge and Data Engineering	2022-01-01	Jindong Wang, Cuiling Lan, Chang Liu et al.
5	1,015	8.9	A Survey on Learning to Hash	IEEE Transactions on Pattern Analysis and Machine Intelligence	2017-05-02	Jingdong Wang, Ting Zhang, Jingkuan Song et al.
6	992	13.6	A Survey on Knowledge Graph-Based Recommender Systems	IEEE Transactions on Knowledge and Data Engineering	2020-10-07	Qingyu Guo, Fuzhen Zhuang, Chuan Qin et al.
7	523	5.6	View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition	IEEE Transactions on Pattern Analysis and Machine Intelligence	2019-01-31	Pengfei Zhang, Cuiling Lan, Junliang Xing et al.
8	473	4.5	Subspace Clustering by Block Diagonal Representation	IEEE Transactions on Pattern Analysis and Machine Intelligence	2018-01-16	Canyi Lu, Jiashi Feng, Zhouchen Lin et al.
9	413	6.6	Model complexity of deep learning: a survey	Knowledge and Information Systems	2021-08-22	Xia Hu, Lingyang Chu, Jian Pei et al.
10	315	4.5	Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals	IEEE Transactions on Knowledge and Data Engineering	2021-01-01	Yuxin Zhang, Yiqiang Chen, Jindong Wang et al.

Cite this page

Scholar4AI. (2026). Microsoft Research Asia (China). Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/companies/microsoft-research-asia-china

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).