Chien-Chih Wang
- Civil and Structural Engineering top 5%
- Industrial and Manufacturing Engineering top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Building and Construction top 5%
- Co-authors
- Bernard C. JiangBinyan JiangHer-Yung WangChih‐Hung JenHung HungAmy J.C. TrappeyChang‐Yu OuNarn-Yih Lee
- Topics
- Industrial Vision Systems and Defect Detection (25 papers)Innovative concrete reinforcement materials (12 papers)Advanced Statistical Process Monitoring (10 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputational MathematicsHealth Information Management
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsConstruction and Building Materials
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chien-Chih Wang
98 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 151
- Civil and Structural Engineering 264
- Industrial and Manufacturing Engineering 251
- Artificial Intelligence 206
- Computer Vision and Pattern Recognition 181
- Building and Construction 133
Countries citing papers authored by Chien-Chih Wang
This map shows the geographic impact of Chien-Chih Wang'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 Chien-Chih Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien-Chih Wang more than expected).
Fields of papers citing papers by Chien-Chih Wang
This network shows the impact of papers produced by Chien-Chih Wang. 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 Chien-Chih Wang. The network helps show where Chien-Chih Wang may publish in the future.
Co-authorship network of co-authors of Chien-Chih Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Chien-Chih Wang. A scholar is included among the top collaborators of Chien-Chih Wang 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 Chien-Chih Wang. Chien-Chih Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 34 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | 7 | |
| 18 | 8 | |
| 19 | 38 | |
| 20 | 72 |
About Chien-Chih Wang
Chien-Chih Wang is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Building and Construction, having authored 107 papers that have together received 1.3k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (25 papers), Innovative concrete reinforcement materials (12 papers) and Advanced Statistical Process Monitoring (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (251 citations), Computational Mathematics (13 citations) and Health Information Management (87 citations). Chien-Chih Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Bernard C. Jiang, Binyan Jiang, Her-Yung Wang, Chih‐Hung Jen, Hung Hung, Amy J.C. Trappey, Chang‐Yu Ou, Narn-Yih Lee, Shu‐Kai S. Fan and Wei‐June Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.
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.