Wen-Cheng Lin
- Renewable Energy, Sustainability and the Environment top 10%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Automotive Engineering
- Topics
- Topic Modeling (6 papers)Natural Language Processing Techniques (6 papers)Silicon Carbide Semiconductor Technologies (5 papers)
In The Last Decade
Wen-Cheng Lin
22 papers receiving 443 citations
Peers
Comparison fields: 5 of 55
- Renewable Energy, Sustainability and the Environment 251
- Artificial Intelligence 223
- Electrical and Electronic Engineering 210
- Control and Systems Engineering 77
- Automotive Engineering 46
Countries citing papers authored by Wen-Cheng Lin
This map shows the geographic impact of Wen-Cheng Lin'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 Wen-Cheng Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen-Cheng Lin more than expected).
Fields of papers citing papers by Wen-Cheng Lin
This network shows the impact of papers produced by Wen-Cheng Lin. 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 Wen-Cheng Lin. The network helps show where Wen-Cheng Lin may publish in the future.
Co-authorship network of co-authors of Wen-Cheng Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Wen-Cheng Lin. A scholar is included among the top collaborators of Wen-Cheng Lin 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 Wen-Cheng Lin. Wen-Cheng Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | Combining Text and Image Queries at ImageCLEF2005 | 3 |
| 9 | Merging Multilingual Information Retrieval Results Based on Prediction of Retrieval Effectiveness | 1 |
| 10 | Merging Results by Using Predicted Retrieval Effectiveness. | 0 |
| 11 | 7 | |
| 12 | Description of NTU Approach to NTCIR3 Multilingual Information Retrieval | 10 |
| 13 | 0 | |
| 14 | 21 | |
| 15 | Description of NTU QA and CLIR Systems in TREC-9. | 2 |
| 16 | 15 | |
| 17 | Description of the NTU Japanese-English Cross-Lingual Information Retrieval System. | 2 |
| 18 | 22 | |
| 19 | Resolving Translation Ambiguity and Target Polysemy in Cross-Language Information Retrieval | 0 |
| 20 | 3 |
About Wen-Cheng Lin
Wen-Cheng Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Geophysics, having authored 25 papers that have together received 469 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Silicon Carbide Semiconductor Technologies (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (251 citations), Artificial Intelligence (223 citations) and Energy Engineering and Power Technology (15 citations). Wen-Cheng Lin has collaborated with scholars based in Taiwan, China and Singapore. Frequent co-authors include Peijie Lin, Lijun Wu, Shuying Cheng, Zhicong Chen, Yue Wu, Hsin‐Hsi Chen, Chun‐Yao Lee, Chao Long, Don Disney and Wei Liu. Their work appears in journals such as Applied Energy, IEEE Access and Applied Sciences.
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.