Wang-Cheng Kang

36 total papers · 4.1k total citations
13 papers, 1.9k citations indexed

About

Wang-Cheng Kang is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Wang-Cheng Kang has authored 13 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Wang-Cheng Kang's work include Recommender Systems and Techniques (7 papers), Advanced Graph Neural Networks (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Wang-Cheng Kang is often cited by papers focused on Recommender Systems and Techniques (7 papers), Advanced Graph Neural Networks (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Wang-Cheng Kang collaborates with scholars based in United States, Dominican Republic and Taiwan. Wang-Cheng Kang's co-authors include Julian McAuley, Wu-Jun Li, Zhi‐Hua Zhou, Fang Chen, Zhaowen Wang, Ruining He, Charles Rosenberg, Eric Kim, Jure Leskovec and Mengting Wan and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Wang-Cheng Kang

12 papers receiving 1.8k citations

Hit Papers

Self-Attentive Sequential... 2018 2026 2020 2023 2018 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
Wang-Cheng Kang 1.4k 1.1k 716 377 128 13 1.9k
Wenwu Ou 1.6k 1.1× 1.3k 1.2× 533 0.7× 445 1.2× 182 1.4× 30 2.0k
Nathan N. Liu 1.3k 0.9× 803 0.7× 377 0.5× 330 0.9× 184 1.4× 12 1.6k
Vihan Jain 1.5k 1.1× 1.2k 1.1× 732 1.0× 334 0.9× 274 2.1× 12 2.2k
Junqi Jin 966 0.7× 714 0.7× 684 1.0× 240 0.6× 172 1.3× 12 1.5k
Jeremiah Harmsen 1.4k 1.0× 1.1k 1.0× 954 1.3× 281 0.7× 273 2.1× 7 2.3k
Ying Fan 1.6k 1.1× 1.1k 1.0× 740 1.0× 371 1.0× 297 2.3× 24 2.0k
Changhua Pei 1.2k 0.8× 974 0.9× 368 0.5× 332 0.9× 217 1.7× 29 1.6k
Hemal Shah 1.4k 1.0× 1.1k 1.0× 601 0.8× 279 0.7× 268 2.1× 7 2.0k
Rohan Anil 1.4k 1.0× 1.2k 1.1× 674 0.9× 279 0.7× 268 2.1× 5 2.1k
Andrew I. Schein 1.0k 0.7× 860 0.8× 373 0.5× 227 0.6× 192 1.5× 15 1.8k

Countries citing papers authored by Wang-Cheng Kang

Since Specialization
Citations

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

Fields of papers citing papers by Wang-Cheng Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang-Cheng Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Wang-Cheng Kang. A scholar is included among the top collaborators of Wang-Cheng Kang 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 Wang-Cheng Kang. Wang-Cheng Kang 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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