Houping Xiao

1.5k total citations
37 papers, 1.0k citations indexed

About

Houping Xiao is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Houping Xiao has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Computer Science Applications and 5 papers in Information Systems. Recurrent topics in Houping Xiao's work include Mobile Crowdsensing and Crowdsourcing (13 papers), Privacy-Preserving Technologies in Data (11 papers) and Anomaly Detection Techniques and Applications (6 papers). Houping Xiao is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (13 papers), Privacy-Preserving Technologies in Data (11 papers) and Anomaly Detection Techniques and Applications (6 papers). Houping Xiao collaborates with scholars based in United States, China and Switzerland. Houping Xiao's co-authors include Lü Su, Jing Gao, Klara Nahrstedt, Haiming Jin, Fenglong Ma, Chenglin Miao, Wenjun Jiang, Jing Zhou, Radha Chitta and Yaliang Li and has published in prestigious journals such as Journal of Financial Economics, IEEE Transactions on Knowledge and Data Engineering and IEEE/ACM Transactions on Networking.

In The Last Decade

Houping Xiao

34 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Houping Xiao United States 17 730 525 141 131 123 37 1.0k
Yon Dohn Chung South Korea 18 449 0.6× 43 0.1× 44 0.3× 400 3.1× 17 0.1× 84 1.1k
Ying Cai United States 15 490 0.7× 111 0.2× 105 0.7× 110 0.8× 4 0.0× 48 918
Yilun Jin China 12 512 0.7× 24 0.0× 55 0.4× 86 0.7× 16 0.1× 28 701
Wubai Zhou United States 13 343 0.5× 19 0.0× 25 0.2× 227 1.7× 22 0.2× 24 667
Shiwan Zhao China 15 545 0.7× 18 0.0× 56 0.4× 482 3.7× 34 0.3× 56 917
Souptik Datta United States 7 648 0.9× 61 0.1× 17 0.1× 159 1.2× 5 0.0× 12 856
C. J. Carmona Spain 16 654 0.9× 35 0.1× 7 0.0× 385 2.9× 42 0.3× 46 914
Sumitra Mukherjee United States 10 481 0.7× 68 0.1× 9 0.1× 102 0.8× 6 0.0× 36 693
Derong Shen China 12 440 0.6× 16 0.0× 16 0.1× 194 1.5× 77 0.6× 106 742
Xiwang Yang China 9 504 0.7× 47 0.1× 83 0.6× 841 6.4× 7 0.1× 15 1.1k

Countries citing papers authored by Houping Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Houping Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Houping Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Houping Xiao. A scholar is included among the top collaborators of Houping Xiao 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 Houping Xiao. Houping Xiao 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
2.
Wang, Shiyu, et al.. (2025). A general dynamic learning model framework for cognitive diagnosis. British Journal of Mathematical and Statistical Psychology. 78(3). 856–888.
3.
Zhong, Yuan, Jiaqi Wang, Xiaochen Wang, et al.. (2024). MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. Society for Industrial and Applied Mathematics eBooks. 2024. 499–507. 5 indexed citations
4.
Wang, Xiaochen, Jiaqi Wang, Houping Xiao, Jinghui Chen, & Fenglong Ma. (2024). FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. 8141–8154. 1 indexed citations
5.
Murray, Scott, Yusen Xia, & Houping Xiao. (2024). Charting by machines. Journal of Financial Economics. 153. 103791–103791. 10 indexed citations
6.
Cao, Sean, et al.. (2021). Power of deep learning: Quantifying language to explain cross-sectional returns. SSRN Electronic Journal. 2 indexed citations
7.
Wang, Jiaqi, et al.. (2021). FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. 2021 IEEE International Conference on Big Data (Big Data). 715–724. 17 indexed citations
8.
Miao, Chenglin, Wenjun Jiang, Lü Su, et al.. (2019). Privacy-Preserving Truth Discovery in Crowd Sensing Systems. ACM Transactions on Sensor Networks. 15(1). 1–32. 63 indexed citations
9.
Wang, Tianqi, Houping Xiao, Fenglong Ma, & Jing Gao. (2019). IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation. 9. 677–682. 2 indexed citations
10.
Ma, Fenglong, Yaqing Wang, Houping Xiao, et al.. (2019). Incorporating medical code descriptions for diagnosis prediction in healthcare. BMC Medical Informatics and Decision Making. 19(S6). 267–267. 15 indexed citations
11.
Jin, Haiming, Lü Su, Houping Xiao, & Klara Nahrstedt. (2018). Incentive Mechanism for Privacy-Aware Data Aggregation in Mobile Crowd Sensing Systems. IEEE/ACM Transactions on Networking. 26(5). 2019–2032. 121 indexed citations
12.
Xiao, Houping, Jing Gao, Qi Li, et al.. (2018). Towards Confidence Interval Estimation in Truth Discovery. IEEE Transactions on Knowledge and Data Engineering. 31(3). 575–588. 17 indexed citations
13.
Miao, Chenglin, Qi Li, Houping Xiao, et al.. (2018). Towards Data Poisoning Attacks in Crowd Sensing Systems. 111–120. 59 indexed citations
14.
Yu, Cunxi, Houping Xiao, & Giovanni De Micheli. (2018). Developing Synthesis Flows Without Human Knowledge. 1–6. 28 indexed citations
15.
Ma, Fenglong, Yaqing Wang, Houping Xiao, et al.. (2018). A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions. 1070–1075. 21 indexed citations
16.
Zhang, Hengtong, Qi Li, Fenglong Ma, et al.. (2016). Influence-Aware Truth Discovery. 851–860. 18 indexed citations
17.
Meng, Chuishi, Houping Xiao, Lü Su, & Yun Cheng. (2016). Tackling the Redundancy and Sparsity in Crowd Sensing Applications. 150–163. 19 indexed citations
18.
Li, Xiaoyi, et al.. (2015). DRN: Bringing Greedy Layer-Wise Training into Time Dimension. 859–864. 1 indexed citations
19.
Xiao, Houping, et al.. (2015). Temporal Multi-View Inconsistency Detection for Network Traffic Analysis. 455–465. 11 indexed citations
20.
Miao, Chenglin, Wenjun Jiang, Lü Su, et al.. (2015). Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems. 183–196. 126 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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