Xingjun Zhang

1.4k total citations · 1 hit paper
144 papers, 1.0k citations indexed

About

Xingjun Zhang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Xingjun Zhang has authored 144 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Networks and Communications, 36 papers in Electrical and Electronic Engineering and 33 papers in Information Systems. Recurrent topics in Xingjun Zhang's work include Cloud Computing and Resource Management (27 papers), Parallel Computing and Optimization Techniques (26 papers) and Advanced Data Storage Technologies (25 papers). Xingjun Zhang is often cited by papers focused on Cloud Computing and Resource Management (27 papers), Parallel Computing and Optimization Techniques (26 papers) and Advanced Data Storage Technologies (25 papers). Xingjun Zhang collaborates with scholars based in China, Sweden and United Kingdom. Xingjun Zhang's co-authors include Xiaoshe Dong, Jie Ning, Lin‐Jie Zhang, Jianxun Zhang, Guifeng Zhang, Xueming Qian, John H. Helsdon, Xiaohong Peng, Richard D. Farley and Bocheng Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Xingjun Zhang

132 papers receiving 964 citations

Hit Papers

Machine learning approaches to identify hydrochemical pro... 2025 2026 2025 5 10 15 20
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine learning approaches to identify hydrochemical processes and predict drinking water quality for groundwater environment in a metropolis
    2025 22 citations Weiting Liu, Si Chen et al. Journal of Hydrology Regional Studies profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xingjun Zhang China 17 278 197 183 141 141 144 1.0k
Wu Zhou China 18 115 0.4× 597 3.0× 186 1.0× 54 0.4× 108 0.8× 82 1.7k
Wenlong Shen China 20 232 0.8× 237 1.2× 80 0.4× 29 0.2× 66 0.5× 52 1.2k
Yongxin Feng China 17 357 1.3× 90 0.5× 104 0.6× 35 0.2× 113 0.8× 113 763
Haydar Abdulameer Marhoon Iraq 16 171 0.6× 53 0.3× 107 0.6× 70 0.5× 107 0.8× 58 682
Yongkun Wang China 11 54 0.2× 167 0.8× 25 0.1× 44 0.3× 100 0.7× 31 790
Dongzhe Wang Singapore 12 62 0.2× 301 1.5× 25 0.1× 89 0.6× 186 1.3× 18 907
Feng Qian China 15 123 0.4× 133 0.7× 90 0.5× 20 0.1× 101 0.7× 65 857

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-authorship network of co-authors of Xingjun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xingjun Zhang. A scholar is included among the top collaborators of Xingjun Zhang 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 Xingjun Zhang. Xingjun Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Yunhui, Weiting Liu, Si Chen, et al.. (2025). Source identification and health risk assessment of urban groundwater nitrate contamination in Chongqing, southwestern China. Journal of Hydrology Regional Studies. 62. 102792–102792.
2.
Liu, Weiting, Si Chen, Yang Chang, et al.. (2025). Machine learning approaches to identify hydrochemical processes and predict drinking water quality for groundwater environment in a metropolis. Journal of Hydrology Regional Studies. 58. 102227–102227. 22 indexed citations breakdown →
3.
Wei, Denghui, Si Chen, Shiming Yang, et al.. (2025). Using positive matrix factorization, sensitivity analysis, and machine learning models to identify hydrochemical processes and predict groundwater quality in a typical metropolitan city. Stochastic Environmental Research and Risk Assessment. 39(12). 5977–5999.
4.
Zhang, Xingjun, et al.. (2024). A Placement Method of the 5G Edge Nodes Based on the Hotspot Distribution of Mobile Users. Applied Sciences. 14(13). 5943–5943. 1 indexed citations
5.
Zhang, Xingjun, et al.. (2024). A highly write-optimized concurrent B+-tree for persistent memory. Future Generation Computer Systems. 155. 219–230.
6.
Zhang, Xingjun, et al.. (2024). Improving the Relationship Between B+-Tree and Memory Allocator for Persistent Memory. 3906–3919. 1 indexed citations
7.
Gui, Xiaolin, et al.. (2024). A trajectory privacy protection method based on the replacement of points of interest in hotspot regions. Computers & Security. 150. 104279–104279. 1 indexed citations
8.
Zhang, Xingjun, et al.. (2024). Neural Multivariate Grey Model and Its Applications. Applied Sciences. 14(3). 1219–1219.
9.
10.
Zhang, Xingjun, et al.. (2023). Fastensor: Optimise the Tensor I/O Path from SSD to GPU for Deep Learning Training. ACM Transactions on Architecture and Code Optimization. 20(4). 1–25. 2 indexed citations
11.
Wei, Zheng, et al.. (2023). Revisit and Benchmarking of Automated Quantization Toward Fair Comparison. IEEE Transactions on Computers. 73(1). 18–29. 1 indexed citations
12.
Wang, Yufei, et al.. (2022). Optimizing Small-Sample Disk Fault Detection Based on LSTM-GAN Model. ACM Transactions on Architecture and Code Optimization. 19(1). 1–24. 6 indexed citations
13.
Zhang, Xingjun, et al.. (2022). DPLRS: Distributed Population Learning Rate Schedule. Future Generation Computer Systems. 132. 40–50. 3 indexed citations
14.
Chen, Mo, Qiyu Jiang, Xiaoshe Dong, et al.. (2022). Status, challenges and trends of data-intensive supercomputing. 4(2). 211–230. 10 indexed citations
15.
Zhang, Xingjun, et al.. (2022). GARLSched: Generative adversarial deep reinforcement learning task scheduling optimization for large-scale high performance computing systems. Future Generation Computer Systems. 135. 259–269. 21 indexed citations
16.
Zhang, Xingjun, et al.. (2021). Deploying and scaling distributed parallel deep neural networks on the Tianhe-3 prototype system. Scientific Reports. 11(1). 20244–20244. 5 indexed citations
17.
Zhang, Xingjun, et al.. (2019). swHPFM: Refactoring and Optimizing the Structured Grid Fluid Mechanical Algorithm on the Sunway TaihuLight Supercomputer. Applied Sciences. 10(1). 72–72. 3 indexed citations
18.
Zhang, Xingjun, et al.. (2017). DOMe: A deduplication optimization method for the NewSQL database backups. PLoS ONE. 12(10). e0185189–e0185189. 3 indexed citations
19.
Zhang, Xingjun, et al.. (2012). Joint Redundant and Random Network Coding for Robust Video Transmission over Lossy Networks. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Zhang, Xingjun & Xiaohong Peng. (2009). An unequal packet loss protection scheme for H.264/AVC video transmission. 195–199. 9 indexed citations

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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