Xiongnan Jin
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Media Technology top 10%
- Co-authors
- Kyong-Ho LeeJian ZhangChaoqun HongJun YuIl‐Woo LeeYongheng WangByungkook OhJinpeng Chen
- Topics
- Service-Oriented Architecture and Web Services (11 papers)IoT and Edge/Fog Computing (10 papers)Context-Aware Activity Recognition Systems (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsArtificial Intelligence
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Industrial InformaticsNeurocomputing
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Xiongnan Jin
25 papers receiving 486 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 259
- Artificial Intelligence 163
- Computer Networks and Communications 142
- Information Systems 113
- Media Technology 39
Countries citing papers authored by Xiongnan Jin
This map shows the geographic impact of Xiongnan Jin'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 Xiongnan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiongnan Jin more than expected).
Fields of papers citing papers by Xiongnan Jin
This network shows the impact of papers produced by Xiongnan Jin. 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 Xiongnan Jin. The network helps show where Xiongnan Jin may publish in the future.
Co-authorship network of co-authors of Xiongnan Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Xiongnan Jin. A scholar is included among the top collaborators of Xiongnan Jin 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 Xiongnan Jin. Xiongnan Jin 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 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 32 | |
| 11 | Multimodal Face-Pose Estimation With Multitask Manifold Deep Learningbreakdown → | 268 |
| 12 | 18 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 14 | |
| 16 | Proactive Replication of Dynamic Linked Data for Scalable RDF Stream Processing. | 2 |
| 17 | 13 | |
| 18 | 34 | |
| 19 | 4 | |
| 20 | 3 |
About Xiongnan Jin
Xiongnan Jin is a scholar working on Information Systems, Computer Networks and Communications and Geography, Planning and Development, having authored 30 papers that have together received 499 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (11 papers), IoT and Edge/Fog Computing (10 papers) and Context-Aware Activity Recognition Systems (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (259 citations), Computer Networks and Communications (142 citations) and Artificial Intelligence (163 citations). Xiongnan Jin has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Kyong-Ho Lee, Jian Zhang, Chaoqun Hong, Jun Yu, Il‐Woo Lee, Yongheng Wang, Byungkook Oh, Jinpeng Chen, Dong‐Ho Lee and Minjung Kim. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Industrial Informatics and Neurocomputing.
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.