Yudong Yan

619 total citations
20 papers, 463 citations indexed

About

Yudong Yan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Yudong Yan has authored 20 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 3 papers in Management Science and Operations Research. Recurrent topics in Yudong Yan's work include Network Security and Intrusion Detection (10 papers), Internet Traffic Analysis and Secure E-voting (7 papers) and Software-Defined Networks and 5G (6 papers). Yudong Yan is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Internet Traffic Analysis and Secure E-voting (7 papers) and Software-Defined Networks and 5G (6 papers). Yudong Yan collaborates with scholars based in China, United Kingdom and Spain. Yudong Yan's co-authors include Dan Tang, Chuanbo Xu, Yunna Wu, Buyuan Zhang, Yaoyao He, Zheng Qin, Qifa Xu, Fangtong Liu, Jingwen Chen and Xu Ruhang and has published in prestigious journals such as Journal of Cleaner Production, Energy Conversion and Management and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Yudong Yan

18 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yudong Yan China 11 173 145 107 100 59 20 463
Xiangzhen Li China 13 181 1.0× 58 0.4× 111 1.0× 222 2.2× 147 2.5× 48 511
Bilin Shao China 15 94 0.5× 278 1.9× 68 0.6× 142 1.4× 47 0.8× 56 657
Nasir Ayub Pakistan 16 87 0.5× 203 1.4× 53 0.5× 294 2.9× 80 1.4× 52 657
Abdulaziz Aldegheishem Saudi Arabia 17 200 1.2× 138 1.0× 20 0.2× 267 2.7× 102 1.7× 39 633
Lütfü Şağbanşua Türkiye 7 68 0.4× 38 0.3× 42 0.4× 65 0.7× 22 0.4× 22 308
Sheng-Xiang Lv China 12 21 0.1× 248 1.7× 204 1.9× 410 4.1× 51 0.9× 14 697
Qiang Tu China 13 54 0.3× 245 1.7× 21 0.2× 295 3.0× 58 1.0× 27 870
Luo Xu China 13 120 0.7× 79 0.5× 48 0.4× 474 4.7× 388 6.6× 63 853

Countries citing papers authored by Yudong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yudong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yudong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yudong Yan. A scholar is included among the top collaborators of Yudong Yan 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 Yudong Yan. Yudong Yan 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.
Yan, Yudong, Yu Wang, Fan Yang, et al.. (2025). Adaptive multi-view learning method for enhanced drug repurposing using chemical-induced transcriptional profiles, knowledge graphs, and large language models. Journal of Pharmaceutical Analysis. 15(6). 101275–101275. 1 indexed citations
2.
Li, Yinghong, Yudong Yan, Mingze Bai, et al.. (2025). Efficient fine-tuning of small-parameter large language models for biomedical bilingual multi-task applications. Applied Soft Computing. 175. 113084–113084.
3.
Yan, Yudong, et al.. (2025). A spatio-global information fusion network simulating multi-person olfactory evaluation: An electronic nose for assessing leather odor intensity. Sensors and Actuators B Chemical. 444. 138342–138342. 1 indexed citations
4.
Cortés, Xavier, et al.. (2024). Free usable space estimation in broiler farms using an image segmentation algorithm. ACTA IMEKO. 13(2). 1–5.
5.
Tang, Dan, et al.. (2024). When SDN Meets Low-rate Threats: A Survey of Attacks and Countermeasures in Programmable Networks. ACM Computing Surveys. 57(4). 1–32. 11 indexed citations
6.
Tang, Dan, et al.. (2023). LtRFT: Mitigate the Low-Rate Data Plane DDoS Attack With Learning-To-Rank Enabled Flow Tables. IEEE Transactions on Information Forensics and Security. 18. 3143–3157. 32 indexed citations
7.
Tang, Dan, et al.. (2022). A novel LDoS attack detection method based on reconstruction anomaly. Cluster Computing. 25(2). 1373–1392. 4 indexed citations
8.
Tang, Dan, et al.. (2021). TS-SVM: Detect LDoS Attack in SDN Based on Two-step Self-adjusting SVM. 678–685. 5 indexed citations
9.
Tang, Dan, et al.. (2021). A new detection method for LDoS attacks based on data mining. Future Generation Computer Systems. 128. 73–87. 8 indexed citations
10.
Tang, Dan, et al.. (2021). ADMS: An online attack detection and mitigation system for LDoS attacks via SDN. Computer Communications. 181. 454–471. 21 indexed citations
11.
Tang, Dan, et al.. (2021). Real-Time Detection and Mitigation of LDoS Attacks in the SDN Using the HGB-FP Algorithm. IEEE Transactions on Services Computing. 15(6). 3471–3484. 29 indexed citations
12.
Tang, Dan, et al.. (2021). Performance and Features: Mitigating the Low-Rate TCP-Targeted DoS Attack via SDN. IEEE Journal on Selected Areas in Communications. 40(1). 428–444. 54 indexed citations
13.
Yan, Yudong, et al.. (2020). Low-rate DoS Attack Detection Based on WPD-EE Algorithm. 384–391. 1 indexed citations
14.
Wu, Yunna, Chenghao Wu, Jianli Zhou, et al.. (2019). A DEMATEL-TODIM based decision framework for PV power generation project in expressway service area under an intuitionistic fuzzy environment. Journal of Cleaner Production. 247. 119099–119099. 78 indexed citations
15.
Yan, Yudong, et al.. (2019). Does Immigrant Generation Matter? Re-examining the Ethnic Density Effects on Mental Health of Ethnic Minorities in Britain. American Journal of Health Behavior. 43(5). 924–936. 5 indexed citations
16.
Wu, Yunna, Ting Zhang, Chuanbo Xu, et al.. (2019). Optimal location selection for offshore wind-PV-seawater pumped storage power plant using a hybrid MCDM approach: A two-stage framework. Energy Conversion and Management. 199. 112066–112066. 94 indexed citations
17.
Yan, Yudong, et al.. (2019). Low-Rate DoS Attack Detection Based on Improved Logistic Regression. 468–476. 16 indexed citations
18.
He, Yaoyao, Yudong Yan, Xu Wang, & Chao Wang. (2019). Uncertainty Forecasting for Streamflow based on Support Vector Regression Method with Fuzzy Information Granulation. Energy Procedia. 158. 6189–6194. 16 indexed citations
19.
He, Yaoyao, Yudong Yan, & Qifa Xu. (2019). Wind and solar power probability density prediction via fuzzy information granulation and support vector quantile regression. International Journal of Electrical Power & Energy Systems. 113. 515–527. 54 indexed citations
20.
Wu, Yunna, et al.. (2019). Study on location decision framework of agroforestry biomass cogeneration project: A case of China. Biomass and Bioenergy. 127. 105289–105289. 33 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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