Chengduan Wang
- Computer Vision and Pattern Recognition top 5%
- Materials Chemistry
- Civil and Structural Engineering top 10%
- Building and Construction top 10%
- Water Science and Technology
- Topics
- Advanced Image and Video Retrieval Techniques (6 papers)Image Retrieval and Classification Techniques (5 papers)Video Surveillance and Tracking Methods (4 papers)
In The Last Decade
Chengduan Wang
27 papers receiving 431 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 147
- Materials Chemistry 97
- Civil and Structural Engineering 80
- Building and Construction 62
- Water Science and Technology 53
Countries citing papers authored by Chengduan Wang
This map shows the geographic impact of Chengduan 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 Chengduan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengduan Wang more than expected).
Fields of papers citing papers by Chengduan Wang
This network shows the impact of papers produced by Chengduan 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 Chengduan Wang. The network helps show where Chengduan Wang may publish in the future.
Co-authorship network of co-authors of Chengduan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Chengduan Wang. A scholar is included among the top collaborators of Chengduan 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 Chengduan Wang. Chengduan 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 | 0 | |
| 2 | 0 | |
| 3 | 17 | |
| 4 | 50 | |
| 5 | 26 | |
| 6 | 22 | |
| 7 | 7 | |
| 8 | 27 | |
| 9 | 13 | |
| 10 | 25 | |
| 11 | 55 | |
| 12 | 63 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | Review on Main Technology Development About Constructed Rapid Infiltration System in China | 1 |
| 17 | 1 | |
| 18 | Study on the Volumetric Method Using a Multi-component Dynamic Gas Confection System | 0 |
| 19 | Study on enhancement mechanism by rotary tangential flow in tubular membrane microfiltration | 1 |
| 20 | 0 |
About Chengduan Wang
Chengduan Wang is a scholar working on Metals and Alloys, Tourism, Leisure and Hospitality Management and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 451 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Metals and Alloys (23 citations), Computer Vision and Pattern Recognition (147 citations) and Process Chemistry and Technology (15 citations). Chengduan Wang has collaborated with scholars based in China, Australia and Iran. Frequent co-authors include Wenfeng Zhang, Xuan Li, Guangming Jiang, Qibing Qin, Lei Huang, Ruizhen Li, Dong Yuan, Jiangyan Dai, Jagadeeshkumar Kulandaivelu and Sihuang Xie. Their work appears in journals such as Water Research, Bioresource Technology and Expert Systems with Applications.
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.