Tianshu Song

685 total citations
11 papers, 387 citations indexed

About

Tianshu Song is a scholar working on Computer Science Applications, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Tianshu Song has authored 11 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Science Applications, 4 papers in Management Science and Operations Research and 3 papers in Computer Networks and Communications. Recurrent topics in Tianshu Song's work include Mobile Crowdsensing and Crowdsourcing (7 papers), Optimization and Search Problems (3 papers) and Auction Theory and Applications (3 papers). Tianshu Song is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (7 papers), Optimization and Search Problems (3 papers) and Auction Theory and Applications (3 papers). Tianshu Song collaborates with scholars based in China, Hong Kong and Switzerland. Tianshu Song's co-authors include Yongxin Tong, Lei Chen, Jieying She, Ke Xu, Ke Xu, Bin Yao, Libin Wang, Dawei Gao, Rui Liu and Yi Xu and has published in prestigious journals such as International Journal of Molecular Sciences, GCB Bioenergy and World Wide Web.

In The Last Decade

Tianshu Song

9 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianshu Song China 8 210 182 90 79 68 11 387
Ioannis Boutsis Greece 11 217 1.0× 139 0.8× 53 0.6× 101 1.3× 145 2.1× 32 393
Zhenni Feng China 7 334 1.6× 233 1.3× 188 2.1× 83 1.1× 186 2.7× 17 565
Zhao Chen Hong Kong 6 284 1.4× 127 0.7× 97 1.1× 88 1.1× 110 1.6× 13 393
Vasilis Verroios United States 9 117 0.6× 122 0.7× 79 0.9× 89 1.1× 31 0.5× 13 341
Mingyuan Yan United States 11 142 0.7× 155 0.9× 58 0.6× 203 2.6× 82 1.2× 32 488
Maryam Pouryazdan Canada 8 238 1.1× 169 0.9× 44 0.5× 123 1.6× 116 1.7× 12 410
Juong-Sik Lee United States 7 456 2.2× 200 1.1× 225 2.5× 120 1.5× 172 2.5× 10 583
Yexuan Shi China 10 84 0.4× 126 0.7× 33 0.4× 44 0.6× 64 0.9× 16 300
Cen Chen China 11 102 0.5× 215 1.2× 30 0.3× 26 0.3× 62 0.9× 43 349
Liwei Deng China 13 61 0.3× 147 0.8× 45 0.5× 67 0.8× 67 1.0× 29 339

Countries citing papers authored by Tianshu Song

Since Specialization
Citations

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

Fields of papers citing papers by Tianshu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianshu Song

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

All Works

11 of 11 papers shown
1.
Song, Tianshu, Caixia Sun, Caixia Sun, et al.. (2023). Microbial community and network differently reshaped by crushed straw or biochar incorporation and associated with nitrogen fertilizer level. GCB Bioenergy. 15(10). 1255–1272. 13 indexed citations
2.
Sun, Caixia, et al.. (2023). Molecular Defensive Mechanism of Echinacea purpurea (L.) Moench against PAH Contaminations. International Journal of Molecular Sciences. 24(13). 11020–11020. 3 indexed citations
3.
Wang, Yansheng, Tianshu Song, Tao Qian, et al.. (2019). Interaction Management in Crowdsourcing.. IEEE Data(base) Engineering Bulletin. 42. 23–34.
4.
Zhang, Lingyu, Tianshu Song, Yongxin Tong, et al.. (2019). Recommendation-based Team Formation for On-demand Taxi-calling Platforms. 59–68. 8 indexed citations
5.
Song, Tianshu, et al.. (2019). Profit Allocation for Federated Learning. 2577–2586. 151 indexed citations
6.
Song, Tianshu, et al.. (2019). Multi-skill aware task assignment in real-time spatial crowdsourcing. GeoInformatica. 24(1). 153–173. 27 indexed citations
7.
Xu, Ke, et al.. (2018). Online delivery route recommendation in spatial crowdsourcing. World Wide Web. 22(5). 2083–2104. 20 indexed citations
8.
Du, Bowen, et al.. (2017). Finding Optimal Team for Multiskill Task Based on Vehicle Sensors Data. Journal of Sensors. 2017. 1–10.
9.
Song, Tianshu, Yongxin Tong, Libin Wang, et al.. (2017). Trichromatic Online Matching in Real-Time Spatial Crowdsourcing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1009–1020. 85 indexed citations
10.
Gao, Dawei, Yongxin Tong, Jieying She, et al.. (2017). Top-k Team Recommendation and Its Variants in Spatial Crowdsourcing. Data Science and Engineering. 2(2). 136–150. 54 indexed citations
11.
She, Jieying, Yongxin Tong, Lei Chen, & Tianshu Song. (2017). Feedback-Aware Social Event-Participant Arrangement. 851–865. 26 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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