Xiaofang Li

419 citations
28 papers · 308 · h-index 8

Impact in

Papers in

Xiaofang Li

24 papers receiving 295 citations

Peers

Xiaofang Li
Comparison fields: 5 of 66
  • Media Technology 56
  • Computer Vision and Pattern Recognition 116
  • Information Systems 116
  • Environmental Engineering 36
  • Computer Networks and Communications 54
Replace Tianyue Luo with:
Tianyue Luo China
Yen‐Hung Chen Taiwan
Nitin Bhatia India
Rahul Malik India
V. Sivakumar India
Boro Jakimovski North Macedonia
Manal A. Ismail Egypt
Rajeshreddy Datla India
Amandeep Kaur India
Yeuan-Kuen Lee Taiwan
Xiaofang Li relative to Tianyue Luo China Tianyue Luo's profile →
Citations per field
00.5×4.5×
Tianyue Luo · 1×
Citations per year

Countries citing papers authored by Xiaofang Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202096
2 201938
3 202035
4 202229
5 201429
6 201928
7 20119
8 20097
9 20236
10 20233
11 20093
12 20123
13 20093
14 20182
15 20232
16 20082
17 20112
18 20092
19 20112
20 20102

About Xiaofang Li

Xiaofang Li is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Artificial Intelligence and Media Technology, having authored 28 papers that have together received 308 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Energy Efficient Wireless Sensor Networks (4 papers), Optical measurement and interference techniques (3 papers), Image Enhancement Techniques (3 papers), Land Use and Ecosystem Services (3 papers), Advanced Image Processing Techniques (3 papers), Urban Heat Island Mitigation (3 papers) and Color Science and Applications (2 papers). The work is most often cited by research in Media Technology (56 citations), Computer Vision and Pattern Recognition (116 citations), Information Systems (116 citations), Environmental Engineering (36 citations) and Computer Networks and Communications (54 citations). Xiaofang Li has collaborated with scholars based in China, New Zealand and Ireland. Frequent co-authors include Zhixin Sun, Feng Xiang, Jing Gong, Ruili Wang, Pourya Shamsolmoali, Wen Zhang, Feng Hou, Yirui Wu, Ruichao Wang and Zhe Sun. Their work appears in journals such as IEEE Access, International Journal of Environmental Research and Public Health, Optics and Lasers in Engineering, Signal Processing Image Communication and Remote Sensing.

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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