Junyi Ma

1.3k total citations · 2 hit papers
10 papers, 914 citations indexed

About

Junyi Ma is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Junyi Ma has authored 10 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Electrical and Electronic Engineering and 3 papers in Computer Networks and Communications. Recurrent topics in Junyi Ma's work include Indoor and Outdoor Localization Technologies (4 papers), Context-Aware Activity Recognition Systems (4 papers) and Wireless Networks and Protocols (2 papers). Junyi Ma is often cited by papers focused on Indoor and Outdoor Localization Technologies (4 papers), Context-Aware Activity Recognition Systems (4 papers) and Wireless Networks and Protocols (2 papers). Junyi Ma collaborates with scholars based in China, United Kingdom and Australia. Junyi Ma's co-authors include Yuxiang Wang, Daqing Zhang, Yasha Wang, Hao Wang, Shengjie Li, Hao Wang, Dan Wu, Tao Gu, Bing Xie and Hao Wang and has published in prestigious journals such as IEEE Transactions on Mobile Computing, Neural Computing and Applications and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Junyi Ma

10 papers receiving 894 citations

Hit Papers

RT-Fall: A Real-Time and Contactless Fall Detection Syste... 2016 2026 2019 2022 2016 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyi Ma China 5 664 344 317 304 190 10 914
Yunze Zeng United States 15 726 1.1× 316 0.9× 253 0.8× 389 1.3× 261 1.4× 27 1.1k
Youwei Zeng China 11 811 1.2× 368 1.1× 179 0.6× 310 1.0× 260 1.4× 14 1.1k
Ruiyang Gao China 9 631 1.0× 283 0.8× 150 0.5× 207 0.7× 221 1.2× 31 852
Heba Abdelnasser Egypt 9 606 0.9× 236 0.7× 178 0.6× 211 0.7× 199 1.0× 15 864
Yongsen Ma United States 8 784 1.2× 390 1.1× 306 1.0× 229 0.8× 249 1.3× 15 1.1k
Yongpan Zou China 11 611 0.9× 233 0.7× 230 0.7× 181 0.6× 306 1.6× 37 928
Yoshifumi Nishida Japan 15 292 0.4× 277 0.8× 331 1.0× 187 0.6× 54 0.3× 73 892
Jiaqi Wen Hong Kong 6 367 0.6× 194 0.6× 119 0.4× 198 0.7× 113 0.6× 8 531
Dorothy Curtis United States 14 527 0.8× 251 0.7× 138 0.4× 109 0.4× 260 1.4× 29 918

Countries citing papers authored by Junyi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyi Ma

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

All Works

10 of 10 papers shown
1.
Ma, Junyi, Junfeng Zhao, Liantao Ma, et al.. (2024). RNN enhanced Compartmental Model for Infectious Disease Prediction. 225–236. 2 indexed citations
2.
Ma, Junyi, et al.. (2022). Enhancing Online Epidemic Supervising System by Compartmental and GRU Fusion Model. Mobile Information Systems. 2022. 1–15. 3 indexed citations
3.
Ma, Junyi, et al.. (2022). A three-tiered semi supervised MTL mechanism and its application in dating apps. Neural Computing and Applications. 37(13). 8217–8231. 2 indexed citations
4.
Ma, Junyi, et al.. (2021). Decision-making of Vessel Collision Avoidance Based on Support Vector Regression. 1–6. 1 indexed citations
5.
Ma, Junyi, et al.. (2021). Understanding and Predicting the Burst of Burnout via Social Media. Proceedings of the ACM on Human-Computer Interaction. 4(CSCW3). 1–27. 11 indexed citations
6.
Wang, Jiangtao, Junyi Ma, Yasha Wang, et al.. (2020). Will Online Digital Footprints Reveal Your Relationship Status?. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 4(1). 1–23. 3 indexed citations
7.
Wang, Hao, Daqing Zhang, Yasha Wang, et al.. (2016). RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices. IEEE Transactions on Mobile Computing. 16(2). 511–526. 491 indexed citations breakdown →
8.
Ma, Junyi, et al.. (2016). When can we detect human respiration with commodity wifi devices?. 325–328. 8 indexed citations
9.
Wang, Hao, Daqing Zhang, Junyi Ma, et al.. (2016). Human respiration detection with commodity wifi devices. RMIT Research Repository (RMIT University Library). 25–36. 362 indexed citations breakdown →
10.
Ma, Junyi, et al.. (2016). A Survey on Wi-Fi Based Contactless Activity Recognition. 1086–1091. 31 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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