Shuo Sun

791 total citations
21 papers, 279 citations indexed

About

Shuo Sun is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shuo Sun has authored 21 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shuo Sun's work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Stock Market Forecasting Methods (6 papers). Shuo Sun is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Stock Market Forecasting Methods (6 papers). Shuo Sun collaborates with scholars based in Singapore, United States and United Kingdom. Shuo Sun's co-authors include Bo An, Arindam Basu, Kevin Duh, Hongming Zhou, Guang-Bin Huang, Meng Hiot Lim, Lucia Specia, Francisco Guzmán, J. Brendan Ritchie and Astrid Zeman and has published in prestigious journals such as Journal of Neuroscience, Neurocomputing and IEEE Intelligent Systems.

In The Last Decade

Shuo Sun

21 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuo Sun Singapore 10 135 78 67 50 37 21 279
Ming Hu United States 9 33 0.2× 74 0.9× 26 0.4× 93 1.9× 12 0.3× 37 300
George Dounias Greece 7 127 0.9× 10 0.1× 35 0.5× 24 0.5× 15 0.4× 18 218
Takaki Makino Japan 8 269 2.0× 8 0.1× 11 0.2× 23 0.5× 6 0.2× 19 393
Erdenebileg Batbaatar South Korea 8 181 1.3× 29 0.4× 7 0.1× 19 0.4× 33 0.9× 16 325
Anson Ho Canada 3 94 0.7× 52 0.7× 10 0.1× 13 0.3× 7 0.2× 8 217
Manqing Dong Australia 8 202 1.5× 17 0.2× 50 0.7× 83 1.7× 198 5.4× 12 373
Sifan Song China 8 53 0.4× 9 0.1× 20 0.3× 25 0.5× 3 0.1× 18 142
Gengfeng Wu China 10 143 1.1× 15 0.2× 5 0.1× 43 0.9× 84 2.3× 39 309
Da Li United States 7 142 1.1× 69 0.9× 5 0.1× 18 0.4× 72 1.9× 17 280

Countries citing papers authored by Shuo Sun

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo Sun. A scholar is included among the top collaborators of Shuo Sun 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 Shuo Sun. Shuo Sun 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.
Sun, Shuo, et al.. (2024). EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14669–14676. 4 indexed citations
3.
4.
Sun, Shuo, et al.. (2023). Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts. 2109–2119. 8 indexed citations
5.
Cai, Qingpeng, Shuo Sun, Shuchang Liu, et al.. (2023). PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. 2874–2884. 8 indexed citations
6.
Sun, Shuo, et al.. (2023). Multilingual Pre-training Model-Assisted Contrastive Learning Neural Machine Translation. abs 1510 2675. 1–7. 1 indexed citations
7.
Sun, Shuo, et al.. (2023). Reinforcement Learning for Quantitative Trading. ACM Transactions on Intelligent Systems and Technology. 14(3). 1–29. 27 indexed citations
8.
An, Bo, et al.. (2022). Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities. IEEE Intelligent Systems. 37(2). 23–26. 13 indexed citations
9.
Sun, Shuo, et al.. (2022). DeepScalper. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 1858–1867. 11 indexed citations
10.
Ritchie, J. Brendan, et al.. (2021). Untangling the Animacy Organization of Occipitotemporal Cortex. Journal of Neuroscience. 41(33). 7103–7119. 27 indexed citations
11.
Sun, Shuo, Frédéric Blain, Vishrav Chaudhary, et al.. (2020). BERGAMOT-LATTE Submissions for the WMT20 Quality Estimation Shared Task. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 1010–1017. 9 indexed citations
12.
Sun, Shuo, Frédéric Blain, Vishrav Chaudhary, et al.. (2020). An Exploratory Study on Multilingual Quality Estimation. 366–377. 4 indexed citations
14.
Sun, Shuo, et al.. (2020). CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval Task. 134–141. 4 indexed citations
15.
Sun, Shuo & João Sedoc. (2020). An Analysis of BERT FAQ Retrieval Models for COVID-19 Infobot. 3 indexed citations
16.
Sun, Shuo, Francisco Guzm án, & Lucia Specia. (2020). Are we Estimating or Guesstimating Translation Quality?. 6262–6267. 14 indexed citations
17.
Sun, Shuo, et al.. (2018). Cross-Lingual Learning-to-Rank with Shared Representations. 458–463. 20 indexed citations
18.
Yao, Enyi, et al.. (2012). A low-power, reconfigurable smart sensor system for EEG acquisition and classification. DR-NTU (Nanyang Technological University). 2. 9–12. 13 indexed citations
19.
Basu, Arindam, Shuo Sun, Hongming Zhou, Meng Hiot Lim, & Guang-Bin Huang. (2012). Silicon spiking neurons for hardware implementation of extreme learning machines. Neurocomputing. 102. 125–134. 62 indexed citations
20.
Sun, Shuo & Arindam Basu. (2011). Analysis and reduction of mismatch in silicon neurons. DR-NTU (Nanyang Technological University). 257–260. 8 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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