Xiaolin He

458 citations
17 papers · 341 · 1 hit paper · h-index 8

Impact in

Papers in

Xiaolin He

13 papers receiving 327 citations

Xiaolin He's Hit Papers

Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators 2021 · 144 citations
1440+1+3Years since publication4080120

Peers

Xiaolin He
Comparison fields: 5 of 85
  • Health Information Management 39
  • Computer Networks and Communications 92
  • Health Informatics 3
  • Plant Science 56
  • Artificial Intelligence 44
Replace Amanpreet Kaur Sandhu with:
Amanpreet Kaur Sandhu India
Tajul Islam Bangladesh
K. Ramalakshmi India
Sung-Jae Jung South Korea
Sallauddin Mohmmad India
S. P. Shantharajah India
Rajani Kumari India
Changhua Tan China
G. Sambasivam India
Debajyoti Mondal Canada
Xiaolin He relative to Amanpreet Kaur Sandhu India Amanpreet Kaur Sandhu's profile →
Citations per field
00.5×20×40×54×
Amanpreet Kaur Sandhu · 1×
Citations per year

Countries citing papers authored by Xiaolin He

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators
Hit paper breakdown →
2021144
2 202065
3 201954
4 202033
5 202310
6 20237
7 20227
8 20187
9 20175
10 20204
11 20183
12 20241
13 20241
14 20240
15 20230
16 20140
17 20200

About Xiaolin He

Xiaolin He is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Automotive Engineering, Social Psychology and Aerospace Engineering, having authored 17 papers that have together received 341 indexed citations. Recurring topics across this work include PAPR reduction in OFDM (6 papers), Energy Efficient Wireless Sensor Networks (4 papers), Optical Network Technologies (4 papers), Vehicle Dynamics and Control Systems (2 papers), Advanced Photonic Communication Systems (2 papers), Human-Automation Interaction and Safety (2 papers), Autonomous Vehicle Technology and Safety (2 papers) and Advanced Power Amplifier Design (2 papers). The work is most often cited by research in Health Information Management (39 citations), Computer Networks and Communications (92 citations), Health Informatics (3 citations), Plant Science (56 citations) and Artificial Intelligence (44 citations). Xiaolin He has collaborated with scholars based in China, South Korea and Nepal. Frequent co-authors include Yongsheng Yang, Hui Yang, Yamei Luo, Bowen Peng, Dan Yan, Kejun Deng, Ming Wu, Hao Lin, Hua Tang and Guo Xi. Their work appears in journals such as IEEE Wireless Communications Letters, IEEE Transactions on Wireless Communications, SAE technical papers on CD-ROM/SAE technical paper series, Information Fusion and Computational Intelligence and Neuroscience.

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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