Wei‐Chen Cheng

42 papers receiving 1.1k citations

Wei‐Chen Cheng's Hit Papers

Autoencoder for words 2014 · 382 citations
3820+4+8Years since publication100200300

Peers

Wei‐Chen Cheng
Comparison fields: 5 of 131
  • Cancer Research 211
  • Ocean Engineering 69
  • Biochemistry 29
  • Artificial Intelligence 138
  • Computer Vision and Pattern Recognition 88
Replace Shibao Li with:
Shibao Li China
Hui Feng China
Cong Ma United States
Ruomei Wang China
Ingrid K. Glad Norway
Sun Li China
Changqing Zhou China
Jianguang Zhang China
Haofan Wang China
Wei‐Chen Cheng relative to Shibao Li China Shibao Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wei‐Chen Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Chen Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei‐Chen Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei‐Chen Cheng Line = papers co-authored together Wei‐Chen Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Autoencoder for words
Hit paper breakdown →
2014382
2 2018117
3 2019108
4 2018104
5 201446
6 200842
7 201941
8 202136
9 201433
10 200831
11 201923
12 197122
13 200922
14 200817
15 201116
16 200315
17 202213
18 201511
19 196610
20 196710

About Wei‐Chen Cheng

Wei‐Chen Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Ocean Engineering, Molecular Biology and Cancer Research, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Gestational Trophoblastic Disease Studies (4 papers), Water resources management and optimization (4 papers), Fractal and DNA sequence analysis (4 papers), Face and Expression Recognition (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Topic Modeling (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cancer Research (211 citations), Ocean Engineering (69 citations), Biochemistry (29 citations), Artificial Intelligence (138 citations) and Computer Vision and Pattern Recognition (88 citations). Wei‐Chen Cheng has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Cheng‐Yuan Liou, Jiun-Wei Liou, Daw-Ran Liou, William W‐G. Yeh, Nien‐Sheng Hsu, Francesca Meteora Buffa, Ying‐Ming Liou, Shih‐Rong Hsieh, Chih‐Chiang Wei and Adrian L. Harris. Their work appears in journals such as Water Resources Research, BJOG An International Journal of Obstetrics & Gynaecology, Lecture notes in computer science, Biomedicine and Nucleic Acids Research.

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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