Chieh‐Han Wu
- Artificial Intelligence top 5%
- Polymers and Plastics top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Z. ShenKuansan WangYuxiao DongAnshul KanakiaWen‐Yen ChiuTrong‐Ming DonSaif AlmheiriRahmat Agung Susantyoko
- Topics
- Advanced Sensor and Energy Harvesting Materials (7 papers)Conducting polymers and applications (6 papers)Topic Modeling (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJournal of Materials Chemistry
- Partner nations
- TaiwanUnited StatesUnited Arab Emirates
In The Last Decade
Chieh‐Han Wu
19 papers receiving 617 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 252
- Polymers and Plastics 105
- Biomedical Engineering 104
- Electrical and Electronic Engineering 102
- Statistics, Probability and Uncertainty 101
Countries citing papers authored by Chieh‐Han Wu
This map shows the geographic impact of Chieh‐Han Wu'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 Chieh‐Han Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chieh‐Han Wu more than expected).
Fields of papers citing papers by Chieh‐Han Wu
This network shows the impact of papers produced by Chieh‐Han Wu. 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 Chieh‐Han Wu. The network helps show where Chieh‐Han Wu may publish in the future.
Co-authorship network of co-authors of Chieh‐Han Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Chieh‐Han Wu. A scholar is included among the top collaborators of Chieh‐Han Wu 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 Chieh‐Han Wu. Chieh‐Han Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | Microsoft Academic Graph: When experts are not enoughbreakdown → | 293 |
| 6 | 15 | |
| 7 | 90 | |
| 8 | 22 | |
| 9 | 1 | |
| 10 | 44 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 17 | |
| 14 | 4 | |
| 15 | 41 | |
| 16 | 28 | |
| 17 | 27 | |
| 18 | 7 | |
| 19 | 1 |
About Chieh‐Han Wu
Chieh‐Han Wu is a scholar working on Polymers and Plastics, Automotive Engineering and Information Systems and Management, having authored 19 papers that have together received 630 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (7 papers), Conducting polymers and applications (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (101 citations), Artificial Intelligence (252 citations) and Polymers and Plastics (105 citations). Chieh‐Han Wu has collaborated with scholars based in Taiwan, United States and United Arab Emirates. Frequent co-authors include Z. Shen, Kuansan Wang, Yuxiao Dong, Anshul Kanakia, Wen‐Yen Chiu, Trong‐Ming Don, Saif Almheiri, Rahmat Agung Susantyoko, Ibrahim Mustafa and Horng‐Jer Tai. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Materials Chemistry.
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.