Jiajun Wu

544 total citations
14 papers, 135 citations indexed

About

Jiajun Wu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jiajun Wu has authored 14 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jiajun Wu's work include Robot Manipulation and Learning (4 papers), Reinforcement Learning in Robotics (4 papers) and Privacy-Preserving Technologies in Data (2 papers). Jiajun Wu is often cited by papers focused on Robot Manipulation and Learning (4 papers), Reinforcement Learning in Robotics (4 papers) and Privacy-Preserving Technologies in Data (2 papers). Jiajun Wu collaborates with scholars based in China, United States and Canada. Jiajun Wu's co-authors include Joshua B. Tenenbaum, Joseph J. Lim, Hongyi Zhang, William T. Freeman, Jiayu Zhou, Henry Leung, Zhuangdi Zhu, Tianshu Zhou, Qi Zhang and Ruohan Gao and has published in prestigious journals such as ACM Computing Surveys, IEEE Journal of Biomedical and Health Informatics and Frontiers in Public Health.

In The Last Decade

Jiajun Wu

12 papers receiving 132 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jiajun Wu China 5 70 33 18 13 12 14 135
Olivier Lebeltel France 5 85 1.2× 37 1.1× 20 1.1× 15 1.2× 4 0.3× 9 139
Giuseppe Cuccu Switzerland 7 118 1.7× 35 1.1× 20 1.1× 6 0.5× 13 1.1× 15 165
Justin Fu United States 6 96 1.4× 33 1.0× 35 1.9× 4 0.3× 9 0.8× 14 145
Zelin Zang China 7 40 0.6× 26 0.8× 13 0.7× 9 0.7× 5 0.4× 19 132
Bartosz Ziółko Poland 10 128 1.8× 65 2.0× 15 0.8× 4 0.3× 9 0.8× 59 259
Quentin Duval France 4 57 0.8× 50 1.5× 9 0.5× 9 0.7× 14 1.2× 5 151
Marco Ciccone Italy 8 123 1.8× 88 2.7× 8 0.4× 17 1.3× 70 5.8× 17 205
David Garzón Ramos Belgium 6 48 0.7× 31 0.9× 14 0.8× 7 0.5× 5 0.4× 20 127
Chaitanya K. Joshi Singapore 4 57 0.8× 52 1.6× 7 0.4× 5 0.4× 8 0.7× 5 137

Countries citing papers authored by Jiajun Wu

Since Specialization
Citations

This map shows the geographic impact of Jiajun Wu'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 Jiajun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiajun Wu more than expected).

Fields of papers citing papers by Jiajun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiajun Wu. 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 Jiajun Wu. The network helps show where Jiajun Wu may publish in the future.

Co-authorship network of co-authors of Jiajun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiajun Wu. A scholar is included among the top collaborators of Jiajun Wu 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 Jiajun Wu. Jiajun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Wu, Jiajun, et al.. (2025). Association between polycyclic aromatic hydrocarbons exposure and metabolic dysfunction-associated steatotic liver disease in US adults. Frontiers in Public Health. 13. 1540357–1540357. 1 indexed citations
3.
Wu, Jiajun, et al.. (2024). Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey. ACM Computing Surveys. 56(10). 1–41. 40 indexed citations
5.
Gao, Ruohan, Yiming Dou, Jeannette Bohg, et al.. (2023). The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects. 17276–17286. 11 indexed citations
7.
Wu, Jiajun, et al.. (2023). FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks. 985–990. 7 indexed citations
9.
Lee, Sharon, et al.. (2023). Primitive Skill-Based Robot Learning from Human Evaluative Feedback. 7817–7824. 3 indexed citations
10.
Zhang, Qi, Yu Tian, Tianshu Zhou, et al.. (2021). Method of Tumor Pathological Micronecrosis Quantification Via Deep Learning From Label Fuzzy Proportions. IEEE Journal of Biomedical and Health Informatics. 25(9). 3288–3299. 7 indexed citations
11.
Gan, Chuang, et al.. (2021). Augmenting Policy Learning with Routines Discovered from a Single Demonstration. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 11024–11032. 2 indexed citations
12.
Wu, Jiajun. (2021). Learning to see the physical world. 7(1). 21–24. 2 indexed citations
13.
Li, Bohan, et al.. (2021). Text-Enhanced Question Answering over Knowledge Graph. 135–139. 2 indexed citations
14.
Wu, Jiajun, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, & William T. Freeman. (2016). Physics 101: Learning Physical Object Properties from Unlabeled Videos. 39.1–39.12. 56 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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