Xiaofei Ji

670 citations
60 papers · 519 · h-index 10

Impact in

Papers in

Xiaofei Ji

54 papers receiving 499 citations

Peers

Xiaofei Ji
Comparison fields: 5 of 70
  • Human-Computer Interaction 117
  • Computer Vision and Pattern Recognition 350
  • Safety, Risk, Reliability and Quality 41
  • Artificial Intelligence 143
  • Biomedical Engineering 148
Replace Yen-Lun Chen with:
Yen-Lun Chen China
Vinay Sharma United States
Loren Schwarz Germany
Olfa Jemai Tunisia
Fatemeh Sadat Saleh Australia
Ziliang Ren China
Chiho Choi United States
Kazuyuki Morioka Japan
Chhavi Dhiman India
Takatsugu Hirayama Japan
Xiaofei Ji relative to Yen-Lun Chen China Yen-Lun Chen's profile →
Citations per field
00.5×1.5×1.8×
Yen-Lun Chen · 1×
Citations per year

Countries citing papers authored by Xiaofei Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaofei Ji, 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 Xiaofei Ji Line = papers co-authored together Xiaofei Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009184
2 201546
3 202141
4 201426
5 201921
6 201717
7 201716
8 201510
9 201710
10 20159
11 20088
12 20168
13 20178
14 20117
15 20147
16 20157
17 20206
18 20146
19 20206
20 20176

About Xiaofei Ji

Xiaofei Ji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Control and Systems Engineering and Human-Computer Interaction, having authored 60 papers that have together received 519 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (35 papers), Video Surveillance and Tracking Methods (25 papers), Anomaly Detection Techniques and Applications (12 papers), Gait Recognition and Analysis (12 papers), Hand Gesture Recognition Systems (10 papers), Fire Detection and Safety Systems (7 papers), Video Analysis and Summarization (7 papers) and Fuzzy Logic and Control Systems (4 papers). The work is most often cited by research in Human-Computer Interaction (117 citations), Computer Vision and Pattern Recognition (350 citations), Safety, Risk, Reliability and Quality (41 citations), Artificial Intelligence (143 citations) and Biomedical Engineering (148 citations). Xiaofei Ji has collaborated with scholars based in China, United Kingdom and Malaysia. Frequent co-authors include Honghai Liu, Zhaojie Ju, Jiangtao Cao, Jing Li, Yangyang Wang, Yibo Li, Chee Seng Chan, Mehdi Khoury, Changhui Wang and Qianqian Wu. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Electronics, Measurement Science and Technology and IEEE Systems Journal.

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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