Xiaohai He

419 citations
26 papers · 265 · h-index 11

Impact in

    • Brain Tumor Detection and Classification
    • Multimodal Machine Learning Applications
    • Advanced Image Processing Techniques
    • Advanced Image and Video Retrieval Techniques
    • Image and Signal Denoising Methods

Papers in

Xiaohai He

23 papers receiving 255 citations

Peers

Xiaohai He
Comparison fields: 5 of 61
  • Neurology 48
  • Computer Vision and Pattern Recognition 123
  • Media Technology 26
  • Artificial Intelligence 89
  • Health Information Management 10
Replace Jundong Liu with:
Jundong Liu United States
Nihal Kodikara Sri Lanka
Pedro Morgado Portugal
David Cárdenas‐Peña Colombia
Ashish Gupta India
Roberto Rosas-Romero Mexico
P. Kalavathi India
Xiaoyuan Lu China
G. Kavitha India
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Citations per field
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Jundong Liu · 1×
Citations per year

Countries citing papers authored by Xiaohai He

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohai He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202353
2 202327
3 202325
4 202123
5 202217
6 202217
7 202316
8 202214
9 202311
10 202111
11 202110
12 20217
13 20216
14 20226
15 20224
16 20223
17 20223
18 20073
19 20233
20 20232

About Xiaohai He

Xiaohai He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Ocean Engineering, Mechanics of Materials and Neurology, having authored 26 papers that have together received 265 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (9 papers), Image and Signal Denoising Methods (6 papers), Image Enhancement Techniques (4 papers), Medical Image Segmentation Techniques (4 papers), Multimodal Machine Learning Applications (4 papers), Enhanced Oil Recovery Techniques (3 papers), Brain Tumor Detection and Classification (3 papers) and Hydrocarbon exploration and reservoir analysis (3 papers). The work is most often cited by research in Neurology (48 citations), Computer Vision and Pattern Recognition (123 citations), Media Technology (26 citations), Artificial Intelligence (89 citations) and Health Information Management (10 citations). Xiaohai He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Linbo Qing, Honggang Chen, Qizhi Teng, Qingyan Cai, Honggang Chen, Luping Liu, Xiang Chen, Meiling Wang, Jin Zhang and Chao Ren. Their work appears in journals such as Knowledge-Based Systems, Applied Intelligence, Artificial Intelligence in Medicine, Mathematical Biosciences & Engineering and Multimedia Tools and Applications.

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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