Sen Wu

418 total citations
14 papers, 291 citations indexed

About

Sen Wu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Sen Wu has authored 14 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Information Systems. Recurrent topics in Sen Wu's work include Advanced Clustering Algorithms Research (4 papers), Market Dynamics and Volatility (2 papers) and Imbalanced Data Classification Techniques (2 papers). Sen Wu is often cited by papers focused on Advanced Clustering Algorithms Research (4 papers), Market Dynamics and Volatility (2 papers) and Imbalanced Data Classification Techniques (2 papers). Sen Wu collaborates with scholars based in China, United States and Sweden. Sen Wu's co-authors include Xuedong Gao, Yanchi Liu, Zhongmou Li, Hui Xiong, Junjie Wu, Xiaodong Feng, Prantik Bhattacharyya, Diane Felmlee, Zhiguang Shan and Yang Liu and has published in prestigious journals such as Sustainability, IEEE Transactions on Cybernetics and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Sen Wu

13 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sen Wu China 5 133 49 41 38 30 14 291
Vahideh Rezaie Iran 11 213 1.6× 65 1.3× 105 2.6× 23 0.6× 31 1.0× 21 334
Hossein Amirkhani Iran 10 169 1.3× 18 0.4× 59 1.4× 18 0.5× 53 1.8× 28 307
José F. Vicent Spain 15 110 0.8× 191 3.9× 47 1.1× 20 0.5× 36 1.2× 48 534
Vincent Cohen-Addad United States 7 78 0.6× 24 0.5× 50 1.2× 36 0.9× 16 0.5× 37 206
Masoud Makrehchi Canada 11 182 1.4× 45 0.9× 46 1.1× 24 0.6× 82 2.7× 56 357
Minglong Lei China 11 205 1.5× 39 0.8× 60 1.5× 19 0.5× 46 1.5× 28 343

Countries citing papers authored by Sen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Wu

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

All Works

14 of 14 papers shown
1.
Wu, Sen, et al.. (2025). Traffic Flow Prediction Based on Spatio-Temporal Aggregated Graph Neural Networks. Transportation Research Record Journal of the Transportation Research Board. 2679(6). 573–588.
2.
Wu, Sen, Wei Li Wang, Yanan Song, & Shuaiqi Liu. (2024). An EEMD‐LSTM, SVR, and BP decomposition ensemble model for steel future prices forecasting. Expert Systems. 41(11). 1 indexed citations
3.
4.
Wu, Sen, et al.. (2021). A deep metric learning approach for weakly supervised loan default prediction. Journal of Intelligent & Fuzzy Systems. 41(4). 5007–5019. 2 indexed citations
5.
Wu, Sen, et al.. (2017). ADJ-CABOSFV for High Dimensional Sparse Data Clustering. DEStech Transactions on Economics Business and Management. 1 indexed citations
6.
Wu, Sen, et al.. (2016). An Internal Clustering Validation Index for Boolean Data. Cybernetics and Information Technologies. 16(6). 232–244. 4 indexed citations
7.
Wu, Sen, et al.. (2014). Fraudulent Behavior Forecast in Telecom Industry Based on Data Mining Technology. Communications of the IIMA. 7(4). 7 indexed citations
8.
Zhang, Jiantong, et al.. (2013). Development of MBA Education in China and Industrial Management Education. 23(2). 132–137. 1 indexed citations
9.
Wu, Sen, et al.. (2013). Scientific Collaboration Networks in China’s System Engineering Subject. International Journal of u- and e- Service Science and Technology. 6(6). 31–40. 3 indexed citations
10.
Liu, Yanchi, Zhongmou Li, Hui Xiong, et al.. (2012). Understanding and Enhancement of Internal Clustering Validation Measures. IEEE Transactions on Cybernetics. 43(3). 982–994. 227 indexed citations
11.
Wu, Sen, Xiaodong Feng, & Zhiguang Shan. (2012). Missing Data Imputation Approach Based on Incomplete Data Clustering. Chinese Journal of Computers. 35(8). 1726–1726. 10 indexed citations
12.
Bhattacharyya, Prantik, et al.. (2011). The Evolution of Ego-Centric Triads: A Microscopic Approach toward Predicting Macroscopic Network Properties. 172–179. 16 indexed citations
13.
Wu, Sen, et al.. (2010). Research on Ontology-Based Text Representation of Vector Space Model. 1. 1–4. 2 indexed citations
14.
Wu, Sen & Xuedong Gao. (2004). CABOSFV algorithm for high dimensional sparse data clustering. International Journal of Minerals Metallurgy and Materials. 11(3). 283–288. 14 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Vahideh Rezaie Breakdown of academic impact, for papers by Hossein Amirkhani Breakdown of academic impact, for papers by José F. Vicent Breakdown of academic impact, for papers by Vincent Cohen-Addad Breakdown of academic impact, for papers by Masoud Makrehchi Breakdown of academic impact, for papers by Minglong Lei
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2026