Mingxuan Wang

1.5k total citations · 1 hit paper
35 papers, 816 citations indexed

About

Mingxuan Wang is a scholar working on Artificial Intelligence, Mechanical Engineering and Social Psychology. According to data from OpenAlex, Mingxuan Wang has authored 35 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Mechanical Engineering and 4 papers in Social Psychology. Recurrent topics in Mingxuan Wang's work include Topic Modeling (15 papers), Natural Language Processing Techniques (13 papers) and Speech Recognition and Synthesis (5 papers). Mingxuan Wang is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (13 papers) and Speech Recognition and Synthesis (5 papers). Mingxuan Wang collaborates with scholars based in China, United States and Hong Kong. Mingxuan Wang's co-authors include Lei Li, Hao Zhou, Bohan Li, Junxian He, Yiming Yang, Jun Xie, Xiaodong Shi, Yidong Chen, Zhixing Tan and Rong Ye and has published in prestigious journals such as Scientific Reports, Journal of Organizational Behavior and Chemical Engineering Science.

In The Last Decade

Mingxuan Wang

29 papers receiving 781 citations

Hit Papers

On the Sentence Embeddings from Pre-trained Language Models 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. On the Sentence Embeddings from Pre-trained Language Models
    2020 316 citations Bohan Li, Hao Zhou et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingxuan Wang China 11 643 148 50 43 39 35 816
Brojo Kishore Mishra India 14 220 0.3× 121 0.8× 118 2.4× 9 0.2× 45 1.2× 79 607
Huan Rong China 12 274 0.4× 72 0.5× 90 1.8× 34 0.8× 31 0.8× 51 524
Marius Popescu Romania 16 643 1.0× 365 2.5× 55 1.1× 20 0.5× 50 1.3× 52 1.1k
Bingquan Liu China 18 615 1.0× 96 0.6× 226 4.5× 121 2.8× 36 0.9× 90 884
Malin Nilsson Sweden 6 140 0.2× 41 0.3× 26 0.5× 20 0.5× 17 0.4× 8 348
Ji-Won Baek South Korea 12 112 0.2× 85 0.6× 84 1.7× 7 0.2× 24 0.6× 41 416
Xiaoliang Chen China 23 141 0.2× 57 0.4× 75 1.5× 32 0.7× 36 0.9× 106 1.9k
Salman Mahmood Oman 11 125 0.2× 25 0.2× 118 2.4× 8 0.2× 22 0.6× 47 543
Roshani Raut India 10 162 0.3× 38 0.3× 52 1.0× 11 0.3× 71 1.8× 44 394
Masayu Leylia Khodra Indonesia 13 534 0.8× 62 0.4× 199 4.0× 13 0.3× 27 0.7× 120 758

Countries citing papers authored by Mingxuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingxuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxuan Wang. A scholar is included among the top collaborators of Mingxuan Wang 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 Wang. Mingxuan Wang 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.
Wang, Mingxuan, et al.. (2025). Beyond looks: the effect of voice personality traits and gestures in virtual agent interactions. Interacting with Computers. 38(1). 11–23.
2.
Guo, Weizhong, et al.. (2025). Kinematics and performance analysis for single-loop deployable polygonal mechanisms based on deployable paths. Mechanism and Machine Theory. 206. 105907–105907. 2 indexed citations
3.
Wang, Mingxuan, et al.. (2025). Integrated HRI and lean digital healthcare approach for facial paralysis rehabilitation via exoskeletons and smartphone applications. Industrial Management & Data Systems. 125(8). 2486–2507.
4.
Cui, Jie, et al.. (2025). Optimizing the restoration performance of pipe energy piles using energy injection in winter mode: A numerical investigation. Journal of Energy Storage. 114. 115807–115807. 4 indexed citations
5.
6.
Zhao, Zijiang, Songtao Huang, Guanglu Dong, et al.. (2024). Engineering the electronic structure of Pt for selective hydrogenation of vanillin to vanillyl alcohol and p-cresol. Chemical Engineering Science. 300. 120616–120616. 1 indexed citations
7.
8.
Guo, Weizhong, et al.. (2024). Expanding the family of plane-symmetric 6R deployable polygon mechanisms by systematically exploring the layout of R-joint axes. Mechanism and Machine Theory. 202. 105768–105768. 2 indexed citations
9.
Zhu, Dian, et al.. (2024). Rehabilitation Applications Based on Behavioral Therapy for People With Knee Osteoarthritis: Systematic Review. JMIR mhealth and uhealth. 12. e53798–e53798. 2 indexed citations
10.
Guo, Weizhong, et al.. (2024). Synthesis and cross-section design of a new family of single-loop 7R deployable polygon mechanisms. Mechanism and Machine Theory. 198. 105653–105653. 4 indexed citations
11.
Chen, Xu, Rong Ye, Qianqian Dong, et al.. (2023). Recent Advances in Direct Speech-to-text Translation. 6796–6804. 13 indexed citations
12.
Zhang, Yong, et al.. (2023). A new perspective on time pressure and creativity: Distinguishing employees' radical versus incremental creativity. Journal of Organizational Behavior. 44(9). 1400–1418. 12 indexed citations
13.
Xu, Wenda, Xian Qian, Mingxuan Wang, Lei Li, & William Yang Wang. (2023). SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes. 5166–5183. 2 indexed citations
14.
Wang, Mingxuan, et al.. (2022). Deactivation of cyanobacteria blooms and simultaneous recovery phosphorus through electrolysis method. Environmental Science and Pollution Research. 29(54). 82574–82583. 4 indexed citations
15.
Yan, Cheng, et al.. (2021). Electrolysis-enhanced ecological floating bed and its factors influencing nitrogen and phosphorus removal in simulated hyper-eutrophic water. Environmental Science and Pollution Research. 28(18). 22832–22842. 5 indexed citations
16.
Wang, Mingxuan, et al.. (2021). Learning Shared Semantic Space for Speech-to-Text Translation. 2214–2225. 41 indexed citations
17.
Zhou, Hao, Yu Bao, Mingxuan Wang, et al.. (2021). Glancing Transformer for Non-Autoregressive Neural Machine Translation. 1993–2003. 62 indexed citations
18.
Xu, Runxin, et al.. (2020). Volctrans Parallel Corpus Filtering System for WMT 2020. Empirical Methods in Natural Language Processing. 985–990. 1 indexed citations
19.
Li, Bohan, Hao Zhou, Junxian He, et al.. (2020). On the Sentence Embeddings from Pre-trained Language Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 9119–9130. 316 indexed citations breakdown →
20.

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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