Xiang Long
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Distributed and Parallel Computing Systems 13
- Advanced Data Storage Technologies 8
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- Parallel Computing and Optimization Techniques 27
- Real-Time Systems Scheduling 12
- Embedded Systems Design Techniques 11
- Co-authors
- Shilei Wen (8 shared papers)Chuang Gan (5 shared papers)Gerard de Melo (3 shared papers)Dongliang He (5 shared papers)Yingze Bao (1 shared paper)Lei Cui (1 shared paper)Xiaopeng Gao (10 shared papers)Chao Tong (4 shared papers)
- Journals
- PLoS ONE (2 papers)Carbon (2 papers)Empirical Economics (1 paper)Journal of Materials Research and Technology (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiang Long
76 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 508
- Hardware and Architecture 149
- Artificial Intelligence 353
- Computer Networks and Communications 232
- Software 37
Countries citing papers authored by Xiang Long
This map shows the geographic impact of Xiang 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 Xiang Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Long more than expected).
Fields of papers citing papers by Xiang Long
This network shows the impact of papers produced by Xiang 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 Xiang Long. The network helps show where Xiang Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiang Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 121 | |
| 2 | 2020 | 120 | |
| 3 | 2018 | 88 | |
| 4 | 2018 | 78 | |
| 5 | 2021 | 76 | |
| 6 | 2018 | 62 | |
| 7 | 2010 | 53 | |
| 8 | 2010 | 47 | |
| 9 | 2016 | 40 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 22 | |
| 12 | 2023 | 20 | |
| 13 | 2020 | 18 | |
| 14 | 2016 | 15 | |
| 15 | 2010 | 13 | |
| 16 | 2025 | 13 | |
| 17 | 2013 | 13 | |
| 18 | 2025 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2010 | 11 |
About Xiang Long
Xiang Long is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 85 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (27 papers), Cloud Computing and Resource Management (21 papers), Distributed and Parallel Computing Systems (13 papers), Real-Time Systems Scheduling (12 papers), Embedded Systems Design Techniques (11 papers), Advanced Data Storage Technologies (8 papers), Human Pose and Action Recognition (6 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (508 citations), Hardware and Architecture (149 citations), Artificial Intelligence (353 citations), Computer Networks and Communications (232 citations) and Software (37 citations). Xiang Long has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shilei Wen, Chuang Gan, Gerard de Melo, Dongliang He, Yingze Bao, Lei Cui, Xiaopeng Gao, Chao Tong, Zhichao Zhou and Xu Jiang. Their work appears in journals such as PLoS ONE, Carbon, Empirical Economics, Journal of Materials Research and Technology and Advanced Functional Materials.
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.