William Cheng‐Chung Chu
- Information Systems top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Software top 2%
- Molecular Biology
- Co-authors
- Yan ZhuSheikh Iqbal AhamedNien‐Lin HsuehChih‐Hung ChangChao‐Tung YangPao‐Ann HsiungBaowen XuChih-Wei Lu
- Topics
- Advanced Software Engineering Methodologies (29 papers)Software Engineering Research (28 papers)Software System Performance and Reliability (16 papers)
- Journals
- Current BiologyIEEE AccessComputer
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
William Cheng‐Chung Chu
124 papers receiving 951 citations
Peers
Comparison fields: 5 of 121
- Information Systems 537
- Artificial Intelligence 350
- Computer Networks and Communications 292
- Software 167
- Molecular Biology 89
Countries citing papers authored by William Cheng‐Chung Chu
This map shows the geographic impact of William Cheng‐Chung Chu'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 William Cheng‐Chung Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Cheng‐Chung Chu more than expected).
Fields of papers citing papers by William Cheng‐Chung Chu
This network shows the impact of papers produced by William Cheng‐Chung Chu. 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 William Cheng‐Chung Chu. The network helps show where William Cheng‐Chung Chu may publish in the future.
Co-authorship network of co-authors of William Cheng‐Chung Chu
This figure shows the co-authorship network connecting the top 25 collaborators of William Cheng‐Chung Chu. A scholar is included among the top collaborators of William Cheng‐Chung Chu 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 William Cheng‐Chung Chu. William Cheng‐Chung Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 8 | |
| 9 | 13 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 16 | |
| 13 | 2 | |
| 14 | 82 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | Intelligent Systems and Applications: Proceedings of the International Computer Symposium (ICS) held at Taichung, Taiwan, December 12 14, 2014 | 1 |
| 18 | 23 | |
| 19 | Constructing an Object-Oriented Architecture for Web Application Testing | 19 |
| 20 | UMPAL: An Unstructured Mesh Partitioner and Load Balancer on World Wide Web. | 2 |
About William Cheng‐Chung Chu
William Cheng‐Chung Chu is a scholar working on Software, Information Systems and Hardware and Architecture, having authored 133 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (29 papers), Software Engineering Research (28 papers) and Software System Performance and Reliability (16 papers). The work is most often cited by research in Software (167 citations), Information Systems (537 citations) and Computer Networks and Communications (292 citations). William Cheng‐Chung Chu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yan Zhu, Sheikh Iqbal Ahamed, Nien‐Lin Hsueh, Chih‐Hung Chang, Chao‐Tung Yang, Pao‐Ann Hsiung, Baowen Xu, Chih-Wei Lu, Hongji Yang and Haoran Yang. Their work appears in journals such as Current Biology, IEEE Access and Computer.
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.