Pu‐Jen Cheng

84 total papers · 730 total citations
46 papers, 401 citations indexed

About

Pu‐Jen Cheng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pu‐Jen Cheng has authored 46 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 21 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pu‐Jen Cheng's work include Topic Modeling (12 papers), Web Data Mining and Analysis (10 papers) and Natural Language Processing Techniques (8 papers). Pu‐Jen Cheng is often cited by papers focused on Topic Modeling (12 papers), Web Data Mining and Analysis (10 papers) and Natural Language Processing Techniques (8 papers). Pu‐Jen Cheng collaborates with scholars based in Taiwan, China and United States. Pu‐Jen Cheng's co-authors include Jyun‐Yu Jiang, Lee‐Feng Chien, Wen‐Hsiang Lu, Jenq‐Haur Wang, Yan-Ming Lai, Cheng‐Chi Lee, Chia-Jung Lee, Yicheng Pan, Hsin‐Min Wang and Chun‐Chih Wang and has published in prestigious journals such as PLoS ONE, Plant Cell & Environment and Information Sciences.

In The Last Decade

Pu‐Jen Cheng

41 papers receiving 369 citations

Author Peers

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

Author Last Decade Papers Cites
Pu‐Jen Cheng 264 202 81 44 39 46 401
Yiqun Zhang 275 1.0× 89 0.4× 143 1.8× 31 0.7× 51 1.3× 54 414
E. J. Yannakoudakis 257 1.0× 116 0.6× 71 0.9× 44 1.0× 57 1.5× 31 373
Naima Iltaf 174 0.7× 151 0.7× 124 1.5× 24 0.5× 84 2.2× 55 406
Ramjeevan Singh Thakur 167 0.6× 147 0.7× 63 0.8× 29 0.7× 54 1.4× 43 339
Myunggwon Hwang 186 0.7× 109 0.5× 66 0.8× 20 0.5× 61 1.6× 54 368
Elena Demidova 248 0.9× 121 0.6× 102 1.3× 64 1.5× 57 1.5× 49 426
Jiarui Qin 219 0.8× 189 0.9× 77 1.0× 13 0.3× 35 0.9× 26 348
Manjeet Rege 198 0.8× 118 0.6× 136 1.7× 45 1.0× 60 1.5× 39 361
Ernesto Diaz-Aviles 163 0.6× 174 0.9× 59 0.7× 35 0.8× 49 1.3× 25 367
Xingzhong Du 181 0.7× 197 1.0× 171 2.1× 61 1.4× 59 1.5× 26 403

Countries citing papers authored by Pu‐Jen Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Pu‐Jen Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pu‐Jen Cheng. 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 Pu‐Jen Cheng. The network helps show where Pu‐Jen Cheng may publish in the future.

Co-authorship network of co-authors of Pu‐Jen Cheng

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