Jun Long

1.3k total citations · 1 hit paper
22 papers, 660 citations indexed

About

Jun Long is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jun Long has authored 22 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jun Long's work include Network Security and Intrusion Detection (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Jun Long is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Jun Long collaborates with scholars based in China, Spain and United States. Jun Long's co-authors include Erxue Min, Jianjing Cui, Qiang Liu, Xifeng Guo, Gen Zhang, Yang Yu, Zhiping Cai, Wei Chen, Jianping Yin and Vicenç Torra and has published in prestigious journals such as Journal of Cleaner Production, IEEE Access and Applied Sciences.

In The Last Decade

Jun Long

19 papers receiving 625 citations

Hit Papers

A Survey of Clustering With Deep Learning: From the Persp... 2018 2026 2020 2023 2018 100 200 300
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. A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture
    2018 340 citations Erxue Min, Xifeng Guo et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Long China 7 412 251 172 139 42 22 660
Erxue Min China 5 362 0.9× 140 0.6× 128 0.7× 147 1.1× 86 2.0× 12 604
Rana Aamir Raza Ashfaq China 9 471 1.1× 310 1.2× 158 0.9× 116 0.8× 80 1.9× 16 702
Bhogeswar Borah India 13 470 1.1× 209 0.8× 261 1.5× 85 0.6× 106 2.5× 38 886
Kanoksri Sarinnapakorn United States 8 484 1.2× 290 1.2× 135 0.8× 90 0.6× 60 1.4× 19 626
Jianjing Cui China 3 282 0.7× 129 0.5× 91 0.5× 128 0.9× 16 0.4× 3 465
Ming Jin Australia 11 537 1.3× 141 0.6× 168 1.0× 125 0.9× 117 2.8× 35 864
Mustapha Lebbah France 14 276 0.7× 85 0.3× 79 0.5× 135 1.0× 75 1.8× 60 468
Paweł Karczmarek Poland 13 263 0.6× 119 0.5× 115 0.7× 147 1.1× 25 0.6× 58 564

Countries citing papers authored by Jun Long

Since Specialization
Citations

This map shows the geographic impact of Jun 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 Jun Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Long more than expected).

Fields of papers citing papers by Jun Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun 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 Jun Long. The network helps show where Jun Long may publish in the future.

Co-authorship network of co-authors of Jun Long

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Long. A scholar is included among the top collaborators of Jun Long 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 Jun Long. Jun Long 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.
2.
Long, Jun, et al.. (2025). Fall Detection Using Federated Lightweight CNN Models: A Comparison of Decentralized vs. Centralized Learning. Applied Sciences. 15(15). 8315–8315. 2 indexed citations
3.
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5.
Long, Jun, et al.. (2023). Inheritance of Chinese Traditional Music Based on Markov Chain Modelling. Applied Mathematics and Nonlinear Sciences. 9(1). 1 indexed citations
6.
Long, Jun, Xiaofang Wu, Qing Yang, et al.. (2022). Tracing energy-water-greenhouse gas nexus in national supply chains: China 2017. Journal of Cleaner Production. 352. 131586–131586. 13 indexed citations
7.
Li, Bin, et al.. (2019). A Novel Learning-Based Indoor Localization Method Combined with Room Features. 32. 73–77. 1 indexed citations
8.
Wang, Tao, et al.. (2018). Using Document Embedding Techniques for Similar Bug Reports Recommendation. 811–814. 6 indexed citations
9.
Min, Erxue, Jun Long, Qiang Liu, Jianjing Cui, & Wei Chen. (2018). TR-IDS: Anomaly-Based Intrusion Detection through Text-Convolutional Neural Network and Random Forest. Security and Communication Networks. 2018. 1–9. 122 indexed citations
10.
Min, Erxue, Jun Long, & Jianjing Cui. (2018). Analysis of the Variance Reduction in SVRG and a New Acceleration Method. IEEE Access. 6. 16165–16175. 3 indexed citations
11.
Min, Erxue, Xifeng Guo, Qiang Liu, et al.. (2018). A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture. IEEE Access. 6. 39501–39514. 340 indexed citations breakdown →
12.
Yu, Yang, Jun Long, & Zhiping Cai. (2017). Network Intrusion Detection through Stacking Dilated Convolutional Autoencoders. Security and Communication Networks. 2017. 1–10. 119 indexed citations
13.
Min, Erxue, Yawei Zhao, Jun Long, et al.. (2017). SVRG with adaptive epoch size. 43. 2935–2942. 2 indexed citations
14.
Xiong, Wei, et al.. (2013). A GA-based low-power Cache Partitioning algorithm for multi-programmed systems. 9. 1–6. 1 indexed citations
15.
Chen, Xin, et al.. (2012). ILACF: An Incentive-Based Low-Latency Anonymous Communication Framework. 3462. 964–969. 2 indexed citations
16.
Torra, Vicenç, et al.. (2011). Modeling Decision for Artificial Intelligence. Lecture notes in computer science. 16 indexed citations
17.
18.
Long, Jun, Jianping Yin, En Zhu, & Wentao Zhao. (2008). A novel active cost-sensitive learning method for intrusion detection. 27. 1099–1104. 5 indexed citations
19.
Zhao, Wentao, Jianping Yin, & Jun Long. (2008). A Prediction Model of DoS Attack's Distribution Discrete Probability. 38. 625–628. 3 indexed citations
20.
Long, Jun. (2007). A Cognition Model of Attack Prediction in Security Situation Awareness Systems. Computer Engineering and Science. 2 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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