Xingjun Zhang
Impact in
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- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Catalysis top 10%
- Catalysts for Methane Reforming
Papers in
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- Advanced Data Storage Technologies 25
- Distributed and Parallel Computing Systems 19
- IoT and Edge/Fog Computing 13
- Cooperative Communication and Network Coding 13
- Caching and Content Delivery 13
- Co-authors
- Xiaoshe Dong (55 shared papers)Jie Ning (4 shared papers)Lin‐Jie Zhang (4 shared papers)Jianxun Zhang (3 shared papers)Guifeng Zhang (3 shared papers)Xueming Qian (6 shared papers)Xiaohong Peng (5 shared papers)Richard D. Farley (2 shared papers)
- Journals
- Future Generation Computer Systems (5 papers)IEEE Access (4 papers)Applied Sciences (4 papers)Journal of Hydrology Regional Studies (3 papers)Neurocomputing (2 papers)
- Partner nations
- ChinaSwedenUnited Kingdom
In The Last Decade
Xingjun Zhang
134 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 93
- Computer Networks and Communications 282
- Catalysis 80
- Process Chemistry and Technology 32
- Information Systems 184
- Hardware and Architecture 55
Countries citing papers authored by Xingjun Zhang
This map shows the geographic impact of Xingjun Zhang'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 Xingjun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingjun Zhang more than expected).
Fields of papers citing papers by Xingjun Zhang
This network shows the impact of papers produced by Xingjun Zhang. 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 Xingjun Zhang. The network helps show where Xingjun Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingjun Zhang, 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 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 92 | |
| 2 | 2015 | 73 | |
| 3 | 2015 | 60 | |
| 4 | 2018 | 44 | |
| 5 | 2019 | 27 | |
| 6 | 2018 | 25 | |
| 7 | 2022 | 24 | |
| 8 | 2025 | 24 | |
| 9 | 2003 | 24 | |
| 10 | 2020 | 22 | |
| 11 | 2017 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2014 | 20 | |
| 15 | 2021 | 19 | |
| 16 | 2003 | 18 | |
| 17 | 2022 | 17 | |
| 18 | 2016 | 15 | |
| 19 | 2021 | 14 | |
| 20 | 2021 | 14 |
About Xingjun Zhang
Xingjun Zhang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 143 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (25 papers), Cloud Computing and Resource Management (23 papers), Parallel Computing and Optimization Techniques (23 papers), Distributed and Parallel Computing Systems (19 papers), IoT and Edge/Fog Computing (13 papers), Cooperative Communication and Network Coding (13 papers), Caching and Content Delivery (13 papers) and Advanced Neural Network Applications (12 papers). The work is most often cited by research in Computer Networks and Communications (282 citations), Catalysis (80 citations), Process Chemistry and Technology (32 citations), Information Systems (184 citations) and Hardware and Architecture (55 citations). Xingjun Zhang has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Xiaoshe Dong, Jie Ning, Lin‐Jie Zhang, Jianxun Zhang, Guifeng Zhang, Xueming Qian, Xiaohong Peng, Richard D. Farley, John H. Helsdon and Bocheng Yu. Their work appears in journals such as Future Generation Computer Systems, IEEE Access, Applied Sciences, Journal of Hydrology Regional Studies 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.