Yanfang Ye

3.7k total citations · 1 hit paper
60 papers, 2.4k citations indexed

About

Yanfang Ye is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Yanfang Ye has authored 60 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Signal Processing, 33 papers in Computer Networks and Communications and 29 papers in Artificial Intelligence. Recurrent topics in Yanfang Ye's work include Advanced Malware Detection Techniques (35 papers), Network Security and Intrusion Detection (33 papers) and Spam and Phishing Detection (14 papers). Yanfang Ye is often cited by papers focused on Advanced Malware Detection Techniques (35 papers), Network Security and Intrusion Detection (33 papers) and Spam and Phishing Detection (14 papers). Yanfang Ye collaborates with scholars based in United States, China and Hong Kong. Yanfang Ye's co-authors include Tao Li, Shifu Hou, S. S. Iyengar, Donald Adjeroh, Lingwei Chen, Lifei Chen, Qingshan Jiang, Yujie Fan, Dingding Wang and YE Dong-yi and has published in prestigious journals such as Expert Systems with Applications, ACM Computing Surveys and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Yanfang Ye

59 papers receiving 2.2k citations

Hit Papers

align trajectories sort by overperformance

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.

A Survey on Malware Detection Using Data Mining Techniques

2017 413 citations Yanfang Ye, Tao Li et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanfang Ye United States	24	1.7k	1.5k	957	949	300	60	2.4k
Duminda Wijesekera United States	21	579 0.3×	1.3k 0.8×	919 1.0×	1.1k 1.1×	133 0.4×	176	2.3k
Stefano Zanero Italy	21	884 0.5×	985 0.6×	710 0.7×	665 0.7×	140 0.5×	109	1.8k
John McHugh United States	19	887 0.5×	1.6k 1.0×	1.2k 1.2×	646 0.7×	104 0.3×	52	2.2k
Youjian Zhao China	20	711 0.4×	1.5k 1.0×	1.3k 1.4×	207 0.2×	22 0.1×	71	2.2k
Douglas S. Reeves United States	26	916 0.5×	2.4k 1.6×	1.0k 1.1×	619 0.7×	100 0.3×	107	2.8k
Thomas A. Longstaff United States	15	435 0.3×	841 0.5×	651 0.7×	594 0.6×	175 0.6×	22	1.4k
Igor Nai Fovino Italy	19	358 0.2×	728 0.5×	915 1.0×	620 0.7×	71 0.2×	49	1.8k
Mathias Payer United States	29	2.0k 1.2×	1.1k 0.7×	2.4k 2.5×	1.2k 1.2×	663 2.2×	134	3.6k
Cliff C. Zou United States	28	1.3k 0.8×	2.7k 1.7×	1.5k 1.5×	928 1.0×	72 0.2×	114	3.4k
A. Nur Zincir‐Heywood Canada	28	1.1k 0.7×	2.7k 1.7×	2.4k 2.5×	833 0.9×	160 0.5×	207	3.3k

Countries citing papers authored by Yanfang Ye

Since Specialization

Citations

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

Fields of papers citing papers by Yanfang Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanfang Ye

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xue, Mingyang, Jialin Meng, Yong Xi, et al.. (2025). Age-sex-specific burden of urological cancers attributable to risk factors in China and its provinces, 1990–2021, and forecasts with scenarios simulation: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Regional Health - Western Pacific. 56. 101517–101517. 1 indexed citations

Liu, Xiaozhu, Yanfang Ye, Liuhua Wang, et al.. (2025). Burden of respiratory tract cancers in China and its provinces, 1990–2021: a systematic analysis of the Global Burden of Disease Study 2021. The Lancet Regional Health - Western Pacific. 55. 101485–101485. 5 indexed citations

Du, Haishun, et al.. (2023). A camera style-invariant learning and channel interaction enhancement fusion network for visible-infrared person re-identification. Machine Vision and Applications. 34(6). 4 indexed citations

Du, Haishun, et al.. (2023). Multiple camera styles learning for unsupervised person re-identification. Optik. 277. 170718–170718. 3 indexed citations

Zhang, Yiming, et al.. (2021). Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection. 3684–3690. 10 indexed citations

Hou, Shifu, Yujie Fan, Yanfang Ye, et al.. (2021). Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 7754–7761. 12 indexed citations

Li, Qianmu, et al.. (2020). Enhancing Deep Neural Networks Against Adversarial Malware Examples.. arXiv (Cornell University). 5 indexed citations

Zhao, Liang, Feng Chen, & Yanfang Ye. (2019). Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting. IEEE Transactions on Knowledge and Data Engineering. 32(10). 1923–1935. 3 indexed citations

Ye, Yanfang, Shifu Hou, Lingwei Chen, et al.. (2019). Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection. 4150–4156. 42 indexed citations

10.

Zhang, Yiming, Yujie Fan, Yanfang Ye, Xin Li, & Erin L. Winstanley. (2018). Utilizing Social Media to Combat Opioid Addiction Epidemic: Automatic Detection of Opioid Users from Twitter.. National Conference on Artificial Intelligence. 538–546. 5 indexed citations

11.

Hou, Shifu, et al.. (2018). Make Evasion Harder: An Intelligent Android Malware Detection System. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5279–5283. 15 indexed citations

12.

Ye, Yanfang, Tao Li, Donald Adjeroh, & S. S. Iyengar. (2017). A Survey on Malware Detection Using Data Mining Techniques. ACM Computing Surveys. 50(3). 1–40. 413 indexed citations breakdown →

13.

Chen, Lingwei, Yanfang Ye, & Thirimachos Bourlai. (2017). Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense. 99–106. 65 indexed citations

14.

Siddula, Madhuri, Fei Dai, Yanfang Ye, & Jianping Fan. (2016). Classifying construction site photos for roof detection. Construction Innovation. 16(3). 368–389. 11 indexed citations

15.

Siddula, Madhuri, Fei Dai, Yanfang Ye, & Jianping Fan. (2016). Unsupervised Feature Learning for Objects of Interest Detection in Cluttered Construction Roof Site Images. Procedia Engineering. 145. 428–435. 18 indexed citations

16.

Ye, Yanfang, et al.. (2015). Soter. ACM Transactions on Intelligent Systems and Technology. 6(4). 1–20. 2 indexed citations

17.

Ye, Yanfang, et al.. (2012). Ensemble Clustering for Internet Security Applications. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 42(6). 1784–1796. 45 indexed citations

18.

Wang, Youyu, et al.. (2009). An improved clustering validity index for determining the number of malware clusters. 13. 544–547. 2 indexed citations

19.

Ye, Yanfang. (2008). Blind Separation of Image Based on ICA. Journal of Chongqing Institute of Technology. 1 indexed citations

20.

Ye, Yanfang, Dingding Wang, Tao Li, YE Dong-yi, & Qingshan Jiang. (2008). An intelligent PE-malware detection system based on association mining. 4(4). 323–334. 130 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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