Changjian Wang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Oncology
- Endocrinology, Diabetes and Metabolism
- Occupational Therapy top 5%
- Topics
- Topic Modeling (10 papers)Cloud Computing and Resource Management (8 papers)Natural Language Processing Techniques (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Cleaner ProductionThe Plant Journal
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Changjian Wang
57 papers receiving 798 citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 264
- Artificial Intelligence 207
- Oncology 101
- Endocrinology, Diabetes and Metabolism 65
- Occupational Therapy 63
Countries citing papers authored by Changjian Wang
This map shows the geographic impact of Changjian 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 Changjian Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changjian Wang more than expected).
Fields of papers citing papers by Changjian Wang
This network shows the impact of papers produced by Changjian 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 Changjian Wang. The network helps show where Changjian Wang may publish in the future.
Co-authorship network of co-authors of Changjian Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Changjian Wang. A scholar is included among the top collaborators of Changjian 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 Changjian Wang. Changjian 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 | 2 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 16 | |
| 9 | GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformerbreakdown → | 84 |
| 10 | 0 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 22 | |
| 17 | 17 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | 18 |
About Changjian Wang
Changjian Wang is a scholar working on Computer Vision and Pattern Recognition, Occupational Therapy and Artificial Intelligence, having authored 68 papers that have together received 809 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Cloud Computing and Resource Management (8 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Computational Mathematics (9 citations), Occupational Therapy (63 citations) and Computer Vision and Pattern Recognition (264 citations). Changjian Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuxing Peng, En Zhu, Pei Zhang, Sihang Zhou, Xinwang Liu, Siwei Wang, Wenxuan Tu, Zhen Huang, Zheng Qin and Hao Yu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and The Plant Journal.
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.