Ching‐Gung Wen
- Ocean Engineering top 2%
- Water Science and Technology top 5%
- Environmental Engineering top 10%
- Control and Systems Engineering top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Ni‐Bin ChangShunan WuYue ChenChih‐Hua ChangCheng‐Chien LiuShaw L. YuJan‐Tai KuoLawrence K. Wang
- Topics
- Water resources management and optimization (9 papers)Multi-Criteria Decision Making (6 papers)Optimization and Mathematical Programming (5 papers)
- Partner nations
- TaiwanUnited States
In The Last Decade
Ching‐Gung Wen
17 papers receiving 484 citations
Peers
Comparison fields: 5 of 63
- Ocean Engineering 265
- Water Science and Technology 253
- Environmental Engineering 126
- Control and Systems Engineering 124
- Management Science and Operations Research 115
Countries citing papers authored by Ching‐Gung Wen
This map shows the geographic impact of Ching‐Gung Wen'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 Ching‐Gung Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Gung Wen more than expected).
Fields of papers citing papers by Ching‐Gung Wen
This network shows the impact of papers produced by Ching‐Gung Wen. 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 Ching‐Gung Wen. The network helps show where Ching‐Gung Wen may publish in the future.
Co-authorship network of co-authors of Ching‐Gung Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Gung Wen. A scholar is included among the top collaborators of Ching‐Gung Wen 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 Ching‐Gung Wen. Ching‐Gung Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 9 | |
| 3 | 18 | |
| 4 | 100 | |
| 5 | 3 | |
| 6 | An Innovative Best Management Practice System for a Recreational Farm in Taiwan | 2 |
| 7 | 19 | |
| 8 | 56 | |
| 9 | 48 | |
| 10 | Lake/Reservoir Restoration Activities in Taiwan | 1 |
| 11 | 32 | |
| 12 | 72 | |
| 13 | 38 | |
| 14 | 39 | |
| 15 | Effects of Whole Depth Aeration on Water Quality in Two Hypereutrophic Reservoirs | 1 |
| 16 | 5 | |
| 17 | 60 | |
| 18 | 6 | |
| 19 | 1 |
About Ching‐Gung Wen
Ching‐Gung Wen is a scholar working on Ocean Engineering, Environmental Chemistry and Statistics and Probability, having authored 19 papers that have together received 526 indexed citations. Recurring topics across this work include Water resources management and optimization (9 papers), Multi-Criteria Decision Making (6 papers) and Optimization and Mathematical Programming (5 papers). The work is most often cited by research in Water Science and Technology (253 citations), Ocean Engineering (265 citations) and Management Science and Operations Research (115 citations). Ching‐Gung Wen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ni‐Bin Chang, Shunan Wu, Yue Chen, Chih‐Hua Chang, Cheng‐Chien Liu, Shaw L. Yu, Jan‐Tai Kuo, Lawrence K. Wang, Jen‐Yang Lin and Shang‐Lien Lo. Their work appears in journals such as Water Research, Water Resources Research and Chemosphere.
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.