Chunyong Yin

1.4k total citations · 1 hit paper
53 papers, 916 citations indexed

About

Chunyong Yin is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Chunyong Yin has authored 53 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 21 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in Chunyong Yin's work include Network Security and Intrusion Detection (20 papers), Anomaly Detection Techniques and Applications (14 papers) and Privacy-Preserving Technologies in Data (9 papers). Chunyong Yin is often cited by papers focused on Network Security and Intrusion Detection (20 papers), Anomaly Detection Techniques and Applications (14 papers) and Privacy-Preserving Technologies in Data (9 papers). Chunyong Yin collaborates with scholars based in China, South Korea and United States. Chunyong Yin's co-authors include Jin Wang, Sun Zhang, Naixue Xiong, Zhichao Yin, Ruxia Sun, Ling‐Feng Shi, Yu Fu, Zu‐Hua Yin, Feng Lü and Jin Wang and has published in prestigious journals such as Sensors, Neurocomputing and Journal of Applied Microbiology.

In The Last Decade

Chunyong Yin

48 papers receiving 862 citations

Hit Papers

Anomaly Detection Based on Convolutional Recurrent Autoen... 2020 2026 2022 2024 2020 50 100 150 200 250
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. Anomaly Detection Based on Convolutional Recurrent Autoencoder for IoT Time Series
    2020 269 citations Chunyong Yin, Sun Zhang et al. IEEE Transactions on Systems Man and Cybernetics Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunyong Yin China 16 560 340 185 157 74 53 916
Feng Pan China 15 482 0.9× 203 0.6× 152 0.8× 113 0.7× 75 1.0× 62 765
Saeed Jalili Iran 18 510 0.9× 252 0.7× 335 1.8× 131 0.8× 71 1.0× 92 981
Mohammad A. Hassonah Jordan 11 635 1.1× 193 0.6× 219 1.2× 88 0.6× 69 0.9× 12 978
Kaile Su China 21 652 1.2× 572 1.7× 191 1.0× 92 0.6× 22 0.3× 120 1.3k
Helmi Md Rais Malaysia 11 620 1.1× 237 0.7× 277 1.5× 191 1.2× 97 1.3× 32 1.2k
Ahmad Sharieh Jordan 16 627 1.1× 487 1.4× 191 1.0× 225 1.4× 59 0.8× 70 1.2k
Yifei Wang China 11 334 0.6× 156 0.5× 160 0.9× 192 1.2× 67 0.9× 31 779
Andrew O. Arnold United States 12 985 1.8× 384 1.1× 205 1.1× 222 1.4× 57 0.8× 23 1.3k
Akebo Yamakami Brazil 15 482 0.9× 250 0.7× 452 2.4× 129 0.8× 138 1.9× 76 891

Countries citing papers authored by Chunyong Yin

Since Specialization
Citations

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

Fields of papers citing papers by Chunyong Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyong Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyong Yin. A scholar is included among the top collaborators of Chunyong Yin 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 Chunyong Yin. Chunyong Yin 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.
Yin, Zhichao, et al.. (2024). A Hybridized Approach for Enhanced Fake Review Detection. IEEE Transactions on Computational Social Systems. 11(6). 7448–7466.
2.
Yin, Zhichao, et al.. (2024). Semi-supervised log anomaly detection based on bidirectional temporal convolution network. Computers & Security. 140. 103808–103808. 10 indexed citations
3.
Yin, Chunyong & Ying Li. (2023). Fast privacy-preserving utility mining algorithm based on utility-list dictionary. Applied Intelligence. 53(23). 29363–29377.
4.
Yin, Chunyong, et al.. (2023). Defending Against Data Poisoning Attack in Federated Learning With Non-IID Data. IEEE Transactions on Computational Social Systems. 11(2). 2313–2325. 13 indexed citations
5.
Yin, Chunyong, Sun Zhang, Jin Wang, & Naixue Xiong. (2020). Anomaly Detection Based on Convolutional Recurrent Autoencoder for IoT Time Series. IEEE Transactions on Systems Man and Cybernetics Systems. 52(1). 112–122. 269 indexed citations breakdown →
6.
Yin, Chunyong, et al.. (2020). A distributed sensing data anomaly detection scheme. Computers & Security. 97. 101960–101960. 9 indexed citations
7.
Yin, Chunyong, et al.. (2019). Location recommendation privacy protection method based on location sensitivity division. EURASIP Journal on Wireless Communications and Networking. 2019(1). 17 indexed citations
8.
Sun, Ruxia, et al.. (2018). Location Privacy Protection Research Based on Querying Anonymous Region Construction for Smart Campus. Mobile Information Systems. 2018. 1–11. 7 indexed citations
9.
Sun, Ruxia, et al.. (2018). Strategies for data stream mining method applied in anomaly detection. Cluster Computing. 22(2). 399–408. 13 indexed citations
10.
Yin, Chunyong, Sun Zhang, Zhichao Yin, & Jin Wang. (2017). Anomaly detection model based on data stream clustering. Cluster Computing. 22(S1). 1729–1738. 29 indexed citations
11.
Yin, Chunyong, Lian Xia, Sun Zhang, Ruxia Sun, & Jin Wang. (2017). Improved clustering algorithm based on high-speed network data stream. Soft Computing. 22(13). 4185–4195. 26 indexed citations
12.
Yin, Chunyong, et al.. (2017). Location Privacy Protection Based on ImprovedK-Value Method in Augmented Reality on Mobile Devices. Mobile Information Systems. 2017. 1–7. 11 indexed citations
13.
Yin, Chunyong, et al.. (2016). An Effective Feature Selection and Data-Stream Classification Model HDP. 網際網路技術學刊. 17(4). 695–702. 1 indexed citations
14.
Yin, Chunyong, et al.. (2015). Towards accurate intrusion detection based on improved clonal selection algorithm. Multimedia Tools and Applications. 76(19). 19397–19410. 15 indexed citations
15.
Yin, Chunyong, et al.. (2015). A New Classificaiton Method for Short Text Based on SLAS and CART. 3. 133–135. 3 indexed citations
16.
Yin, Chunyong, et al.. (2015). A Novel Framework towards Botnet Detection. 26. 9–12. 1 indexed citations
17.
Yin, Chunyong, et al.. (2015). An improved Hoeffding-ID data-stream classification algorithm. The Journal of Supercomputing. 72(7). 2670–2681. 14 indexed citations
18.
Yin, Chunyong, Sun Zhang, Zhichao Yin, & Jin Wang. (2015). An Algorithm of Clustering by Density Peaks Using in Anomaly Detection. International Journal of Security and Its Applications. 9(12). 115–128. 1 indexed citations
19.
20.
Yin, Chunyong, Songlin Xu, & Dandan Wang. (1999). State estimation of short-range targetwith multisensors. IEE Proceedings - Radar Sonar and Navigation. 146(1). 8–16. 1 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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2026