Jianmin Wang

38.2k total citations · 14 hit papers
474 papers, 15.2k citations indexed

About

Jianmin Wang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jianmin Wang has authored 474 papers receiving a total of 15.2k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Artificial Intelligence, 123 papers in Information Systems and 105 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jianmin Wang's work include Domain Adaptation and Few-Shot Learning (49 papers), Business Process Modeling and Analysis (47 papers) and Service-Oriented Architecture and Web Services (43 papers). Jianmin Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (49 papers), Business Process Modeling and Analysis (47 papers) and Service-Oriented Architecture and Web Services (43 papers). Jianmin Wang collaborates with scholars based in China, United States and Australia. Jianmin Wang's co-authors include Mingsheng Long, Philip S. Yu, Guiguang Ding, Zhangjie Cao, Jiaguang Sun, Yue Cao, Michael I. Jordan, Yunbo Wang, Zijia Lin and Han Zhu and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jianmin Wang

436 papers receiving 14.9k citations

Hit Papers

Transfer Feature Learning... 2013 2026 2017 2021 2013 2018 2014 2018 2013 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jianmin Wang 7.0k 6.4k 1.6k 1.1k 1.1k 474 15.2k
Sankar K. Pal 6.9k 1.0× 5.9k 0.9× 2.0k 1.2× 1.1k 1.0× 932 0.9× 332 16.5k
Thomas G. Dietterich 8.5k 1.2× 3.9k 0.6× 1.8k 1.1× 1.1k 1.1× 670 0.6× 167 15.3k
Joydeep Ghosh 6.9k 1.0× 3.7k 0.6× 1.7k 1.1× 1.6k 1.5× 547 0.5× 308 14.9k
Rich Caruana 8.5k 1.2× 3.1k 0.5× 1.6k 1.0× 1.0k 1.0× 457 0.4× 104 15.4k
Sameer Singh 13.4k 1.9× 3.3k 0.5× 1.4k 0.9× 1.1k 1.0× 911 0.9× 255 20.2k
Javier Del Ser 6.6k 0.9× 2.1k 0.3× 818 0.5× 632 0.6× 1.2k 1.2× 314 14.9k
Yong Shi 4.7k 0.7× 1.8k 0.3× 1.6k 1.0× 677 0.6× 1.0k 0.9× 523 11.3k
Xindong Wu 14.2k 2.0× 9.5k 1.5× 6.3k 3.9× 2.8k 2.6× 840 0.8× 655 28.3k
Aboul Ella Hassanien 8.0k 1.1× 3.8k 0.6× 1.7k 1.1× 967 0.9× 1.3k 1.3× 669 19.5k
M. Narasimha Murty 6.2k 0.9× 3.1k 0.5× 2.0k 1.3× 2.0k 1.8× 447 0.4× 121 11.5k

Countries citing papers authored by Jianmin Wang

Since Specialization
Citations

This map shows the geographic impact of Jianmin Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jianmin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianmin Wang more than expected).

Fields of papers citing papers by Jianmin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jianmin Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jianmin Wang. The network helps show where Jianmin Wang may publish in the future.

Co-authorship network of co-authors of Jianmin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianmin Wang. A scholar is included among the top collaborators of Jianmin Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jianmin Wang. Jianmin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fahey, Catherine, Jianmin Wang, Grant M. Domke, et al.. (2025). Canopy complexity drives positive effects of tree diversity on productivity in two tree diversity experiments. Ecology. 106(1). e4500–e4500. 3 indexed citations
2.
Pei, Zhongyi, et al.. (2025). TimesBERT: A BERT-Style Foundation Model for Time Series Understanding. 10975–10983.
3.
Cai, Jiajia, et al.. (2025). Tailoring Mo/W ratio in Mo/WO3@ZnIn2S4 for regulating the round-the-clock photocathodic protection. Journal of Power Sources. 638. 236572–236572. 5 indexed citations
4.
Cai, Jiajia, Zhi Zhang, Yuxuan Wang, et al.. (2025). Exploring progress of strategies in enhancing the photoanodic production of H2O2: A comprehensive review. Materials Today Energy. 49. 101845–101845. 3 indexed citations
5.
Chen, Kaiyi, X. Z. Chen, Jie Zhang, & Jianmin Wang. (2024). A Parallel CRC Circuit Design Method Based on Semi-tensor Product. IFAC-PapersOnLine. 58(29). 344–349.
6.
Cao, Zhangjie, et al.. (2024). One Fits Many: Class Confusion Loss for Versatile Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(11). 7251–7266. 3 indexed citations
7.
Fatima, Rubia, Affan Yasin, Lin Liu, Jianmin Wang, & Wasif Afzal. (2023). Retrieving arXiv, SocArXiv, and SSRN metadata for initial review screening. Information and Software Technology. 161. 107251–107251. 2 indexed citations
8.
Huang, Xiangdong, et al.. (2023). Time-tired compaction: An elastic compaction scheme for LSM-tree based time-series database. Advanced Engineering Informatics. 59. 102224–102224. 6 indexed citations
9.
Yao, Zhiyu, Yunbo Wang, Haixu Wu, Jianmin Wang, & Mingsheng Long. (2023). ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–16. 11 indexed citations
10.
Shen, Leixian, et al.. (2023). Graph Exploration With Embedding-Guided Layouts. IEEE Transactions on Visualization and Computer Graphics. 30(7). 3693–3708. 5 indexed citations
11.
Cao, Zhangjie, et al.. (2023). Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15275–15291. 5 indexed citations
12.
Shen, Leixian, et al.. (2022). Towards Natural Language Interfaces for Data Visualization: A Survey. IEEE Transactions on Visualization and Computer Graphics. 29(6). 3121–3144. 92 indexed citations
13.
Yao, Zhiyu, Yunbo Wang, Jianmin Wang, Philip S. Yu, & Mingsheng Long. (2021). VideoDG: Generalizing Temporal Relations in Videos to Novel Domains. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 7989–8004. 17 indexed citations
14.
Song, Shaoxu, Yu Sun, Aoqian Zhang, Lei Chen, & Jianmin Wang. (2018). Enriching Data Imputation under Similarity Rule Constraints. IEEE Transactions on Knowledge and Data Engineering. 32(2). 275–287. 45 indexed citations
15.
Wang, Yunbo, Mingsheng Long, Jianmin Wang, & Philip S. Yu. (2017). Spatiotemporal Pyramid Network for Video Action Recognition. 2097–2106. 190 indexed citations
16.
Wang, Jianmin. (2017). Intelligent Analysis and Prediction of Mine Slope Deformation Monitoring Data Based on Gaussian Process. SHILAP Revista de lepidopterología. 4 indexed citations
17.
Lin, Zijia, Guiguang Ding, Jungong Han, & Jianmin Wang. (2016). Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing. IEEE Transactions on Cybernetics. 47(12). 4342–4355. 153 indexed citations
18.
Long, Mingsheng, Jianmin Wang, Yue Cao, Jiaguang Sun, & Philip S. Yu. (2016). Deep Learning of Transferable Representation for Scalable Domain Adaptation. IEEE Transactions on Knowledge and Data Engineering. 28(8). 2027–2040. 148 indexed citations
19.
Wang, Jianmin, et al.. (2013). Design of the Power Online Monitoring System Based on LabVIEW. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Wang, Jianmin, et al.. (2010). Efficient and accurate retrieval of business process models through indexing (short paper). QUT ePrints (Queensland University of Technology). 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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