Xiaolin He

13 papers receiving 360 citations

Xiaolin He's Hit Papers

Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators 2021 · 152 citations
1520+1+3Years since publication50100150

Peers

Xiaolin He
Comparison fields: 5 of 53
  • Health Information Management 46
  • Computer Networks and Communications 82
  • Plant Science 60
  • Health Informatics 3
  • Molecular Biology 72
Replace Rakesh Ahuja with:
Rakesh Ahuja India
Romana Rahman Ema Bangladesh
Yu-Jung Chang Taiwan
Esraa Alhenawi Jordan
C. Suresh Gnana Dhas India
Wei Jun Yang China
Xubin Wang China
Md. Rakib Hassan Bangladesh
Jiangping Han China
Lovepreet Kaur India
Xiaolin He relative to Rakesh Ahuja India Rakesh Ahuja's profile →
Citations per field
00.5×2×4×6×
Rakesh Ahuja · 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

18 of 18 papers shown
#Work
1
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators
Hit paper breakdown →
2021152
2 202068
3 201963
4 202034
5 202320
6 202310
7 20187
8 20226
9 20246
10 20204
11 20243
12 20242
13 20231
14 20140
15 20200
16 20240
17 20250
18 20260

About Xiaolin He

Xiaolin He is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Health Information Management, Modeling and Simulation and Social Psychology, having authored 18 papers that have together received 376 indexed citations. Recurring topics across this work include PAPR reduction in OFDM (7 papers), Energy Efficient Wireless Sensor Networks (4 papers), Artificial Intelligence in Healthcare (2 papers), Smart Agriculture and AI (1 paper), UAV Applications and Optimization (1 paper), Attachment and Relationship Dynamics (1 paper), Stability and Control of Uncertain Systems (1 paper) and Advanced Wireless Network Optimization (1 paper). The work is most often cited by research in Health Information Management (46 citations), Computer Networks and Communications (82 citations), Plant Science (60 citations), Health Informatics (3 citations) and Molecular Biology (72 citations). Xiaolin He has collaborated with scholars based in China and Nepal. Frequent co-authors include Yongsheng Yang, Hui Qiong Yang, Ming Wu, Dan Yan, Hao Lin, Yamei Luo, Kejun Deng, Hua Tang, Pingzhi Fan and Qianli Wang. Their work appears in journals such as IEEE Wireless Communications Letters, IEEE Transactions on Wireless Communications, Information Fusion, Computational Intelligence and Neuroscience and IEEE Communications Letters.

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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