Wenzhi Ma
- Industrial and Manufacturing Engineering top 1%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering
- Civil and Structural Engineering top 10%
- Computational Mechanics top 10%
- Co-authors
- Xian TaoDapeng ZhangDe XuXilong LiuChandranath AdakShiyang LiHaytham A. SheerahXiaobing Zhai
- Topics
- Industrial Vision Systems and Defect Detection (4 papers)Non-Destructive Testing Techniques (3 papers)Nutritional Studies and Diet (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionCivil and Structural Engineering
- Journals
- SHILAP Revista de lepidopterologíaDevelopmentACS Applied Materials & Interfaces
In The Last Decade
Wenzhi Ma
13 papers receiving 527 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Industrial and Manufacturing Engineering 344
- Computer Vision and Pattern Recognition 175
- Mechanical Engineering 134
- Civil and Structural Engineering 94
- Computational Mechanics 87
Countries citing papers authored by Wenzhi Ma
This map shows the geographic impact of Wenzhi Ma'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 Wenzhi Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenzhi Ma more than expected).
Fields of papers citing papers by Wenzhi Ma
This network shows the impact of papers produced by Wenzhi Ma. 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 Wenzhi Ma. The network helps show where Wenzhi Ma may publish in the future.
Co-authorship network of co-authors of Wenzhi Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Wenzhi Ma. A scholar is included among the top collaborators of Wenzhi Ma 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 Wenzhi Ma. Wenzhi Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 22 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 39 | |
| 8 | 13 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 77 | |
| 12 | 16 | |
| 13 | 22 | |
| 14 | 0 | |
| 15 | Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networksbreakdown → | 336 |
About Wenzhi Ma
Wenzhi Ma is a scholar working on Industrial and Manufacturing Engineering, Pharmacy and Nutrition and Dietetics, having authored 15 papers that have together received 547 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (4 papers), Non-Destructive Testing Techniques (3 papers) and Nutritional Studies and Diet (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (344 citations), Computer Vision and Pattern Recognition (175 citations) and Civil and Structural Engineering (94 citations). Wenzhi Ma has collaborated with scholars based in China, Japan and Macao. Frequent co-authors include Xian Tao, Dapeng Zhang, De Xu, Xilong Liu, Chandranath Adak, Shiyang Li, Haytham A. Sheerah, Xiaobing Zhai, Keyang Liu and Kokoro Shirai. Their work appears in journals such as SHILAP Revista de lepidopterología, Development and ACS Applied Materials & Interfaces.
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.