Yanping Xiang

2.3k total citations · 1 hit paper
82 papers, 1.7k citations indexed

About

Yanping Xiang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Yanping Xiang has authored 82 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 18 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Yanping Xiang's work include Reliability and Maintenance Optimization (18 papers), Cloud Computing and Resource Management (12 papers) and Software Reliability and Analysis Research (12 papers). Yanping Xiang is often cited by papers focused on Reliability and Maintenance Optimization (18 papers), Cloud Computing and Resource Management (12 papers) and Software Reliability and Analysis Research (12 papers). Yanping Xiang collaborates with scholars based in China, Israel and United States. Yanping Xiang's co-authors include Gregory Levitin, Liudong Xing, Maxim Finkelstein, Di Xiao, Liaqat Ali, Yakubu Imrana, Yuanshun Dai, Hui Wang, Min Li and Yifeng Zeng and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Yanping Xiang

76 papers receiving 1.6k citations

Hit Papers

A bidirectional LSTM deep learning approach for intrusion... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanping Xiang China 22 509 440 395 378 243 82 1.7k
Andrea Bondavalli Italy 23 558 1.1× 1.0k 2.4× 368 0.9× 100 0.3× 396 1.6× 236 2.1k
Nicola Mazzocca Italy 21 420 0.8× 753 1.7× 67 0.2× 105 0.3× 569 2.3× 181 1.7k
Miklós Telek Hungary 23 191 0.4× 1.1k 2.4× 274 0.7× 46 0.1× 218 0.9× 167 2.2k
P. R. Kumar United States 23 421 0.8× 1.3k 3.0× 128 0.3× 127 0.3× 156 0.6× 133 3.3k
Boudewijn R. Haverkort Netherlands 24 432 0.8× 939 2.1× 247 0.6× 46 0.1× 281 1.2× 176 2.6k
Yongchuan Tang China 24 590 1.2× 134 0.3× 149 0.4× 96 0.3× 186 0.8× 76 1.7k
Zhiqiu Huang China 23 749 1.5× 424 1.0× 60 0.2× 166 0.4× 999 4.1× 241 2.1k
Xi‐Ren Cao Hong Kong 29 673 1.3× 1.0k 2.3× 192 0.5× 45 0.1× 69 0.3× 159 3.4k
Bruno Séricola France 20 142 0.3× 317 0.7× 200 0.5× 75 0.2× 48 0.2× 63 1.1k
Edmundo de Souza e Silva Brazil 21 109 0.2× 572 1.3× 210 0.5× 47 0.1× 119 0.5× 101 1.3k

Countries citing papers authored by Yanping Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Yanping Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanping Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanping Xiang. A scholar is included among the top collaborators of Yanping Xiang 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 Yanping Xiang. Yanping Xiang 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.
Xiang, Yanping, et al.. (2025). Deformable Feature Alignment and Refinement for moving infrared small target detection. Pattern Recognition. 169. 111894–111894. 2 indexed citations
2.
Min, Fan, et al.. (2024). VIF-Net: Interface completion in full waveform inversion using fusion networks. Computers & Geosciences. 196. 105834–105834.
3.
Imrana, Yakubu, et al.. (2024). CNN-GRU-FF: a double-layer feature fusion-based network intrusion detection system using convolutional neural network and gated recurrent units. Complex & Intelligent Systems. 10(3). 3353–3370. 24 indexed citations
4.
Yang, Bo, et al.. (2024). Invariant feature based label correction for DNN when Learning with Noisy Labels. Neural Networks. 172. 106137–106137. 1 indexed citations
5.
Li, Fengquan, et al.. (2023). Pd-doped Ni nanocatalyst with high Pd utilization for semi-hydrogenation of phenylacetylene at ambient conditions. Molecular Catalysis. 553. 113734–113734. 2 indexed citations
6.
Imrana, Yakubu, Yanping Xiang, Liaqat Ali, et al.. (2022). χ2-BidLSTM: A Feature Driven Intrusion Detection System Based on χ2 Statistical Model and Bidirectional LSTM. Sensors. 22(5). 2018–2018. 23 indexed citations
7.
Imrana, Yakubu, et al.. (2021). A bidirectional LSTM deep learning approach for intrusion detection. Expert Systems with Applications. 185. 115524–115524. 253 indexed citations breakdown →
8.
Xiang, Yanping, et al.. (2021). Slither: finding local dense subgraphs measured by average degree. Applied Intelligence. 52(5). 5034–5046.
9.
Levitin, Gregory, Liudong Xing, & Yanping Xiang. (2020). Co-Residence Data Theft Attacks on N-Version Programming-Based Cloud Services With Task Cancelation. IEEE Transactions on Systems Man and Cybernetics Systems. 52(1). 324–333. 10 indexed citations
10.
Levitin, Gregory, Liudong Xing, & Yanping Xiang. (2020). Reliability versus Vulnerability of N-Version Programming Cloud Service Component With Dynamic Decision Time Under Co-Resident Attacks. IEEE Transactions on Services Computing. 15(4). 1774–1784. 5 indexed citations
11.
Xing, Liudong, Gregory Levitin, & Yanping Xiang. (2019). Defending N-Version Programming Service Components against Co-Resident Attacks in IoT Cloud Systems. IEEE Transactions on Services Computing. 14(6). 1717–1725. 17 indexed citations
12.
Dai, Yuanshun, et al.. (2017). Correlation Modeling and Resource Optimization for Cloud Service With Fault Recovery. IEEE Transactions on Cloud Computing. 7(3). 693–704. 28 indexed citations
13.
Zeng, Yifeng, et al.. (2016). Structured Memetic Automation for Online Human-Like Social Behavior Learning. IEEE Transactions on Evolutionary Computation. 21(1). 102–115. 14 indexed citations
14.
Zeng, Yifeng, Xuefeng Chen, Xin Cao, et al.. (2015). Optimal route search with the coverage of users' preferences. TeesRep (Teesside University). 2118–2124. 25 indexed citations
15.
Xiang, Yanping, et al.. (2014). Multi-Performance Optimization for MAS Based Grid Computing. International Journal of Performability Engineering. 10(2). 226. 1 indexed citations
16.
Zeng, Yifeng, et al.. (2014). Time-critical interactive dynamic influence diagram. International Journal of Approximate Reasoning. 57. 44–63.
17.
Xiang, Yanping, et al.. (2010). [Application of niche theory in evaluation of main tourism scenic areas in Zhangjiajie City].. PubMed. 21(5). 1315–20. 1 indexed citations
18.
Xiang, Yanping. (2009). Tourism Competition:the New Perspective of Niche Analysis. Anhui nongye kexue. 1 indexed citations
19.
Xiang, Yanping & Kim-Leng Poh. (2005). Constructing Bayesian Network in a Changing World.. National University of Singapore. 108–113. 6 indexed citations
20.
Xiang, Yanping, et al.. (2002). Cooperative Verification of Agent Interface.. 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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