Wei‐Chen Cheng

29 papers receiving 718 citations

Hit Papers

Autoencoder for words 2014 · 337 citations
3372014202620182022100200300

Peers

Wei‐Chen Cheng
Comparison fields: 5 of 138
  • Cancer Research 94
  • Ocean Engineering 86
  • Computer Vision and Pattern Recognition 94
  • Artificial Intelligence 144
  • Water Science and Technology 58
Replace Guangzhong Liu with:
Guangzhong Liu China
Marco Muselli Italy
Jung‐Jae Kim Singapore
Wenchao Liu China
Rongfang Wang China
Li Zheng China
Qianqian Yang China
Ying Zou China
Mingxin Liu China
Hui Zhong China
Wei‐Chen Cheng relative to Guangzhong Liu China Guangzhong Liu's profile →
Citations per field
00.5×3.1×
Guangzhong Liu · 1×
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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Autoencoder for words
Hit paper breakdown →
2014337
2 2019105
3 201445
4 200841
5 202130
6 201420
7 197119
8 200918
9 201115
10 200313
11 201511
12 196711
13 196610
14 20229
15 19678
16 20118
17 20116
18 20096
19 20134
20 20124

About Wei‐Chen Cheng

Wei‐Chen Cheng is a scholar working on Ocean Engineering, Water Science and Technology, Cancer Research, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 737 indexed citations. Recurring topics across this work include Gestational Trophoblastic Disease Studies (4 papers), Water Systems and Optimization (3 papers), Fractal and DNA sequence analysis (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Water-Energy-Food Nexus Studies (3 papers), Topic Modeling (3 papers), Water resources management and optimization (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Cancer Research (94 citations), Ocean Engineering (86 citations), Computer Vision and Pattern Recognition (94 citations), Artificial Intelligence (144 citations) and Water Science and Technology (58 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, Ying‐Ming Liou, Shih‐Rong Hsieh, Francesca M. Buffa, Chih‐Chiang Wei and Matteo Morotti. Their work appears in journals such as Water Resources Research, BJOG An International Journal of Obstetrics & Gynaecology, Urban Rail Transit, Biomedicine and Advances in Water Resources.

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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