Mingxuan Sun

1.1k total citations
53 papers, 659 citations indexed

About

Mingxuan Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mingxuan Sun has authored 53 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 13 papers in Computer Networks and Communications. Recurrent topics in Mingxuan Sun's work include Cooperative Communication and Network Coding (7 papers), Advanced MIMO Systems Optimization (7 papers) and Recommender Systems and Techniques (6 papers). Mingxuan Sun is often cited by papers focused on Cooperative Communication and Network Coding (7 papers), Advanced MIMO Systems Optimization (7 papers) and Recommender Systems and Techniques (6 papers). Mingxuan Sun collaborates with scholars based in United States, China and Singapore. Mingxuan Sun's co-authors include Xiangwei Zhou, Guy Lebanon, Jin Shang, Lingyun Song, Joonseok Lee, Ruigang Yang, Geoffrey Ye Li, Biing‐Hwang Juang, Jun Liu and Zhiming Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Communications.

In The Last Decade

Mingxuan Sun

52 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingxuan Sun United States 14 219 205 144 132 117 53 659
Ping Lü China 16 174 0.8× 294 1.4× 173 1.2× 157 1.2× 77 0.7× 63 715
Leon Reznik United States 14 74 0.3× 305 1.5× 89 0.6× 174 1.3× 112 1.0× 99 707
Chenglong Wang China 14 316 1.4× 378 1.8× 139 1.0× 78 0.6× 19 0.2× 36 811
Shuyu Chen China 16 307 1.4× 132 0.6× 148 1.0× 182 1.4× 61 0.5× 86 726
Qian He China 13 125 0.6× 289 1.4× 293 2.0× 360 2.7× 208 1.8× 74 873
Harsh Kumar Verma India 18 360 1.6× 223 1.1× 188 1.3× 340 2.6× 166 1.4× 134 1.1k
Shaojin Geng China 8 118 0.5× 210 1.0× 244 1.7× 234 1.8× 70 0.6× 14 639
Subrota Kumar Mondal Macao 10 117 0.5× 258 1.3× 188 1.3× 124 0.9× 53 0.5× 34 664
Lili Zhao China 13 283 1.3× 249 1.2× 162 1.1× 48 0.4× 45 0.4× 75 684
Jinyuan Jia China 13 142 0.6× 344 1.7× 131 0.9× 139 1.1× 23 0.2× 79 734

Countries citing papers authored by Mingxuan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Mingxuan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxuan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxuan Sun. A scholar is included among the top collaborators of Mingxuan 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 Mingxuan Sun. Mingxuan 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.
Song, Lingyun, Xuequn Shang, Jun Liu, et al.. (2024). A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning. Neural Networks. 179. 106558–106558. 2 indexed citations
2.
Song, Lingyun, et al.. (2024). FMSA-SC: A Fine-Grained Multimodal Sentiment Analysis Dataset Based on Stock Comment Videos. IEEE Transactions on Multimedia. 26. 7294–7306. 30 indexed citations
3.
Chen, Xiaobing, Xiangwei Zhou, Mingxuan Sun, & Hao Wang. (2024). Temporal Contrastive Learning for Sensor-Based Human Activity Recognition: A Self-Supervised Approach. IEEE Sensors Journal. 25(1). 1839–1850. 3 indexed citations
4.
Song, Lingyun, et al.. (2022). Attribute-Guided Multiple Instance Hashing Network for Cross-Modal Zero-Shot Hashing. IEEE Transactions on Multimedia. 25. 5305–5318. 10 indexed citations
5.
Shang, Jin, Mingxuan Sun, & Nina Lam. (2020). List-wise Fairness Criterion for Point Processes. Civil War Book Review. 1948–1958. 4 indexed citations
6.
Case, Andrew, et al.. (2020). Hooktracer: Automatic Detection and Analysis of Keystroke Loggers Using Memory Forensics. Computers & Security. 96. 101872–101872. 15 indexed citations
7.
Sun, Mingxuan, Qing Wang, & Zicheng Liu. (2020). Human Action Image Generation with Differential Privacy. Civil War Book Review. 1–6. 3 indexed citations
8.
Shang, Jin & Mingxuan Sun. (2019). Local low-rank Hawkes processes for modeling temporal user–item interactions. Knowledge and Information Systems. 62(3). 1089–1112. 2 indexed citations
9.
Shang, Jin & Mingxuan Sun. (2019). Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4878–4885. 27 indexed citations
10.
Zhou, Xiangwei, et al.. (2019). On-Demand Receiver-Centric Channel Allocation via Constrained VCG Auction for Spatial Spectrum Reuse. IEEE Systems Journal. 13(3). 2519–2530. 8 indexed citations
11.
Zhou, Xiangwei, Mingxuan Sun, Geoffrey Ye Li, & Biing‐Hwang Juang. (2018). Intelligent wireless communications enabled by cognitive radio and machine learning. China Communications. 15(12). 16–48. 62 indexed citations
12.
Song, Lingyun, et al.. (2018). A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification. IEEE Transactions on Image Processing. 27(12). 6025–6038. 77 indexed citations
13.
Shang, Jin, Mingxuan Sun, & Kevyn Collins‐Thompson. (2018). Demographic Inference Via Knowledge Transfer in Cross-Domain Recommender Systems. Civil War Book Review. 1218–1223. 6 indexed citations
14.
Zhou, Xiangwei, Mingxuan Sun, Geoffrey Ye Li, & Biing‐Hwang Juang. (2017). Machine Learning and Cognitive Technology for Intelligent Wireless Networks.. arXiv (Cornell University). 6 indexed citations
15.
Wang, Tianyang, et al.. (2017). Dilated Residual Network for Image Denoising.. arXiv (Cornell University). 6 indexed citations
16.
Zhou, Xiangwei, et al.. (2017). Secure Transmission in Heterogeneous Networks: A Two-Level Stackelberg Game Approach. Civil War Book Review. 1–6. 1 indexed citations
17.
Zhou, Xiangwei, et al.. (2017). Constrained VCG Auction for Spatial Spectrum Reuse with Flexible Channel Evaluations. Civil War Book Review. 1–6. 5 indexed citations
18.
Sun, Mingxuan, et al.. (2017). Tracking You through DNS Traffic. Journal of Bioresource Management. 303–310. 4 indexed citations
19.
Sun, Mingxuan & Seungwon Yang. (2016). Personalization of Learning Paths in Online Communities of Creators.. Civil War Book Review. 513–516. 1 indexed citations
20.
Lee, Joonseok, Mingxuan Sun, & Guy Lebanon. (2012). PREA: personalized recommendation algorithms toolkit. Journal of Machine Learning Research. 13(1). 2699–2703. 35 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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