Xingjun Zhang

1.4k citations
144 papers · 1.0k · 1 hit paper · h-index 17

Impact in

Papers in

Xingjun Zhang

132 papers receiving 964 citations

Xingjun Zhang's Hit Papers

Machine learning approaches to identify hydrochemical processes and predict drinking water quality for groundwater environment in a metropolis 2025 · 22 citations
220Years since publication5101520

Peers

Xingjun Zhang
Comparison fields: 5 of 94
  • Computer Networks and Communications 278
  • Process Chemistry and Technology 32
  • Catalysis 77
  • Hardware and Architecture 55
  • Information Systems 183
Replace Siming Liu with:
Siming Liu United States
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Yao China
Wenxuan Yao United States
Wu Zhou China
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Huang United States
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Xingjun Zhang relative to Siming Liu United States Siming Liu's profile →
Citations per field
00.5×8.3×
Siming Liu · 1×
Citations per year

Countries citing papers authored by Xingjun Zhang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xingjun Zhang Line = papers co-authored together Xingjun Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202286
2 201572
3 201559
4 201842
5 201925
6 200324
7 201824
8
Machine learning approaches to identify hydrochemical processes and predict drinking water quality for groundwater environment in a metropolis
Hit paper breakdown →
202522
9 202022
10 202221
11 201721
12 202021
13 201420
14 202020
15 202119
16 200318
17 202216
18 201615
19 202114
20 200914

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 Hardware and Architecture, having authored 144 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (27 papers), Parallel Computing and Optimization Techniques (26 papers), Advanced Data Storage Technologies (25 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 (11 papers). The work is most often cited by research in Computer Networks and Communications (278 citations), Process Chemistry and Technology (32 citations), Catalysis (77 citations), Hardware and Architecture (55 citations) and Information Systems (183 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, The International Journal of Advanced Manufacturing Technology and IEEE Transactions on Multimedia.

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.

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