Junfeng Yao

102 papers receiving 1.3k citations

Junfeng Yao's Hit Papers

Systematic review of digital twin technology and applications 2023 · 96 citations
960+1+2Years since publication255075

Peers

Junfeng Yao
Comparison fields: 5 of 132
  • Computer Vision and Pattern Recognition 343
  • Human-Computer Interaction 66
  • Artificial Intelligence 355
  • Computational Theory and Mathematics 172
  • Industrial and Manufacturing Engineering 104
Replace Mohammad Tubishat with:
Mohammad Tubishat Jordan
Hamed Shah‐Hosseini Iran
Man Ieee Systems
Fazhi He China
Horst Samulowitz United States
Liping Xie China
Štěpán Hubálovský Czechia
Kuk-Hyun Han South Korea
Qiangfu Zhao Japan
Asadollah Shahbahrami Iran
Junfeng Yao relative to Mohammad Tubishat Jordan Mohammad Tubishat's profile →
Citations per field
00.5×10×20×30×40×47×
Mohammad Tubishat · 1×
Citations per year

Countries citing papers authored by Junfeng Yao

Since Specialization
Citations

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

Fields of papers citing papers by Junfeng Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junfeng Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junfeng Yao Line = papers co-authored together Junfeng Yao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010149
2
Systematic review of digital twin technology and applications
Hit paper breakdown →
202396
3 201580
4 200751
5 201947
6 202045
7 202139
8 202238
9 202237
10 202135
11 202132
12 202231
13 202128
14 201928
15 202227
16 201123
17 200622
18 201822
19 202119
20 201718

About Junfeng Yao

Junfeng Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Aerospace Engineering, having authored 124 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Natural Language Processing Techniques (15 papers), Advanced Image and Video Retrieval Techniques (12 papers), Robotics and Sensor-Based Localization (8 papers), Medical Image Segmentation Techniques (7 papers), Advanced Text Analysis Techniques (7 papers), Advanced Vision and Imaging (7 papers) and Emotion and Mood Recognition (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (343 citations), Human-Computer Interaction (66 citations), Artificial Intelligence (355 citations), Computational Theory and Mathematics (172 citations) and Industrial and Manufacturing Engineering (104 citations). Junfeng Yao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chunyan Li, Jinsong Su, Chih‐Cheng Hung, Yong Yang, Xiaopeng Zhang, Qingqiang Wu, Deyi Xiong, Xiangxiang Zeng, T. E. Simos and Changle Zhou. Their work appears in journals such as The Visual Computer, Neural Networks, IEEE/ACM Transactions on Audio Speech and Language Processing, Information Processing & Management and IEEE Transactions on Neural Networks and Learning Systems.

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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