Xiaofei Ji

670 citations
40 papers · 413 · h-index 9

Impact in

Papers in

Xiaofei Ji

35 papers receiving 397 citations

Peers

Xiaofei Ji
Comparison fields: 5 of 65
  • Human-Computer Interaction 94
  • Computer Vision and Pattern Recognition 269
  • Safety, Risk, Reliability and Quality 38
  • Artificial Intelligence 113
  • Biomedical Engineering 116
Replace Ziliang Ren with:
Ziliang Ren China
Vinay Sharma India
Chiho Choi United States
Fatemeh Sadat Saleh Australia
Loren Schwarz Germany
Jin-Woo Jung South Korea
Ramprasad Polana United States
Jongmin Yu South Korea
Edgar Seemann Germany
Xiaofei Ji relative to Ziliang Ren China Ziliang Ren's profile →
Citations per field
00.5×1.5×2.3×
Ziliang Ren · 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009162
2 202139
3 201538
4 201422
5 201921
6 201715
7 20159
8 20159
9 20179
10 20178
11 20117
12 20206
13 20156
14 20166
15 20206
16 20235
17 20145
18 20145
19 20145
20 20085

About Xiaofei Ji

Xiaofei Ji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Safety, Risk, Reliability and Quality and Control and Systems Engineering, having authored 40 papers that have together received 413 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (19 papers), Video Surveillance and Tracking Methods (15 papers), Anomaly Detection Techniques and Applications (10 papers), Fire Detection and Safety Systems (7 papers), Gait Recognition and Analysis (7 papers), Advanced Algorithms and Applications (4 papers), Hand Gesture Recognition Systems (4 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Human-Computer Interaction (94 citations), Computer Vision and Pattern Recognition (269 citations), Safety, Risk, Reliability and Quality (38 citations), Artificial Intelligence (113 citations) and Biomedical Engineering (116 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, Changhui Wang, Yibo Li, Qianqian Wu, Dalin Zhou and Yibo Li. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Electronics, Measurement Science and Technology and Applied Sciences.

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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