Chengjiang Long
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Automotive Engineering top 5%
- Media Technology top 2%
- Computer Networks and Communications top 10%
- Topics
- Video Surveillance and Tracking Methods (14 papers)Generative Adversarial Networks and Image Synthesis (11 papers)Human Pose and Action Recognition (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingACM Transactions on Graphics
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Chengjiang Long
59 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 602
- Automotive Engineering 238
- Media Technology 201
- Computer Networks and Communications 163
Countries citing papers authored by Chengjiang Long
This map shows the geographic impact of Chengjiang Long'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 Chengjiang Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengjiang Long more than expected).
Fields of papers citing papers by Chengjiang Long
This network shows the impact of papers produced by Chengjiang Long. 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 Chengjiang Long. The network helps show where Chengjiang Long may publish in the future.
Co-authorship network of co-authors of Chengjiang Long
This figure shows the co-authorship network connecting the top 25 collaborators of Chengjiang Long. A scholar is included among the top collaborators of Chengjiang Long 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 Chengjiang Long. Chengjiang Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 6 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 59 | |
| 10 | 56 | |
| 11 | 29 | |
| 12 | 10 | |
| 13 | A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos | 8 |
| 14 | 11 | |
| 15 | 19 | |
| 16 | 35 | |
| 17 | 37 | |
| 18 | 8 | |
| 19 | 43 | |
| 20 | Partial surface reconstruction and applications from point cloud using RBF | 0 |
About Chengjiang Long
Chengjiang Long is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (14 papers), Generative Adversarial Networks and Image Synthesis (11 papers) and Human Pose and Action Recognition (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Computer Graphics and Computer-Aided Design (125 citations) and Media Technology (201 citations). Chengjiang Long has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Gang Hua, Chunxia Xiao, Yongwei Nie, Guiqing Li, Sanping Zhou, Liushuai Shi, Zhian Liu, Anthony Hoogs, Qing Zhang and Wenju Xu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Transactions on Graphics.
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.