Xiaoran Fan

37 papers receiving 356 citations

Peers

Xiaoran Fan
Comparison fields: 5 of 58
  • Signal Processing 62
  • Human-Computer Interaction 31
  • Computer Vision and Pattern Recognition 57
  • Electrical and Electronic Engineering 150
  • Cognitive Neuroscience 36
Replace Haochen Hu with:
Haochen Hu China
Xiaochao Dang China
Zhijian Yang United States
Qinyi Xu United States
Sungwon Yang United States
Frazer Noble New Zealand
Yu Ling China
Bashima Islam United States
Jang-Woo Kwon South Korea
Xiaoran Fan relative to Haochen Hu China Haochen Hu's profile →
Citations per field
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Haochen Hu · 1×
Citations per year

Countries citing papers authored by Xiaoran Fan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoran Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202053
2 201841
3 202141
4 202322
5 202221
6 202419
7 202417
8 202015
9 201713
10 202412
11 202112
12 202011
13 202410
14 20207
15 20227
16 20246
17 20186
18 20246
19 20245
20 20245

About Xiaoran Fan

Xiaoran Fan is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 41 papers that have together received 361 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (10 papers), Speech and Audio Processing (9 papers), Energy Harvesting in Wireless Networks (6 papers), Context-Aware Activity Recognition Systems (4 papers), Blind Source Separation Techniques (3 papers), Topic Modeling (3 papers), Phonocardiography and Auscultation Techniques (3 papers) and Bluetooth and Wireless Communication Technologies (3 papers). The work is most often cited by research in Signal Processing (62 citations), Human-Computer Interaction (31 citations), Computer Vision and Pattern Recognition (57 citations), Electrical and Electronic Engineering (150 citations) and Cognitive Neuroscience (36 citations). Xiaoran Fan has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Richard Howard, Longfei Shangguan, Yanyong Zhang, Jie Xiong, Yunfei Ma, Wade Trappe, Sugang Li, Larry Jackel, Zhu Han and Yao Peng. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Robotics and Automation Letters, Tsinghua Science & Technology, Materials Today Energy and IEEE Transactions on Signal Processing.

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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