Jianren Wang

54 total papers · 2.2k total citations
26 papers, 1.2k citations indexed

About

Jianren Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jianren Wang has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Jianren Wang's work include Advanced Neural Network Applications (6 papers), Video Surveillance and Tracking Methods (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Jianren Wang is often cited by papers focused on Advanced Neural Network Applications (6 papers), Video Surveillance and Tracking Methods (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Jianren Wang collaborates with scholars based in United States, China and Taiwan. Jianren Wang's co-authors include Zhonglin Cao, Amir Barati Farimani, Yuyang Wang, Yihui He, David Held, Xinshuo Weng, Kris Kitani, Marios Savvides, Chenchen Zhu and Xiangyu Zhang and has published in prestigious journals such as Information Sciences, Transportation Research Record Journal of the Transportation Research Board and Nature Machine Intelligence.

In The Last Decade

Jianren Wang

23 papers receiving 1.2k citations

Hit Papers

Molecular contrastive lea... 2019 2026 2021 2023 2022 2019 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jianren Wang 637 281 277 259 205 26 1.2k
Lars Rosenbaum 599 0.9× 146 0.5× 275 1.0× 67 0.3× 318 1.6× 16 1.4k
Lu Zhang 591 0.9× 267 1.0× 189 0.7× 112 0.4× 224 1.1× 43 1.4k
Karel Zimmermann 532 0.8× 265 0.9× 211 0.8× 56 0.2× 150 0.7× 63 1.3k
Qi Wang 375 0.6× 52 0.2× 255 0.9× 176 0.7× 69 0.3× 70 1.2k
Dmitry Vetrov 680 1.1× 168 0.6× 762 2.8× 115 0.4× 172 0.8× 50 1.4k
Chunkai Zhang 358 0.6× 151 0.5× 581 2.1× 258 1.0× 76 0.4× 72 1.4k
Shiguang Zhang 318 0.5× 328 1.2× 482 1.7× 60 0.2× 156 0.8× 59 1.4k
Enhui Zheng 380 0.6× 73 0.3× 143 0.5× 136 0.5× 50 0.2× 51 1.3k
Yue Zhao 290 0.5× 105 0.4× 647 2.3× 63 0.2× 86 0.4× 49 1.4k
Haoran Li 265 0.4× 103 0.4× 267 1.0× 52 0.2× 30 0.1× 58 1.2k

Countries citing papers authored by Jianren Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jianren Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianren Wang

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

All Works

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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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