Kaijian Xia

87 papers receiving 1.3k citations

Peers

Kaijian Xia
Comparison fields: 5 of 133
  • Neurology 163
  • Computer Vision and Pattern Recognition 396
  • Health Information Management 68
  • Media Technology 138
  • Artificial Intelligence 392
Replace Fuqian Shi with:
Fuqian Shi China
AKM Azad Bangladesh
Adi Alhudhaif Saudi Arabia
Junding Sun China
Shuihua Wang United Kingdom
Qinghua Zhou China
Anjan Gudigar India
Xiang Yu China
Türker Tuncer Türkiye
Pengjiang Qian China
Kaijian Xia relative to Fuqian Shi China Fuqian Shi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kaijian Xia

Since Specialization
Citations

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

Fields of papers citing papers by Kaijian Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020140
2 2018116
3 2018107
4 201993
5 201985
6 202143
7 202242
8 202236
9 201936
10 202132
11 202024
12 201324
13 202122
14 201922
15 202221
16 201921
17 201920
18 202020
19 202419
20 201219

About Kaijian Xia

Kaijian Xia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Brain Tumor Detection and Classification (12 papers), EEG and Brain-Computer Interfaces (9 papers), Face and Expression Recognition (8 papers), Advanced Neural Network Applications (8 papers), Blind Source Separation Techniques (6 papers) and Image Enhancement Techniques (5 papers). The work is most often cited by research in Neurology (163 citations), Computer Vision and Pattern Recognition (396 citations), Health Information Management (68 citations), Media Technology (138 citations) and Artificial Intelligence (392 citations). Kaijian Xia has collaborated with scholars based in China, Malaysia and United Kingdom. Frequent co-authors include Hongsheng Yin, Yizhang Jiang, Pengjiang Qian, Yudong Zhang, Shuihua Wang‎, Yuanpeng Zhang, Xiaoqing Gu, Khin Wee Lai, Jing Xue and Kaifa Zhao. Their work appears in journals such as IEEE Access, Journal of Ambient Intelligence and Humanized Computing, Journal of Medical Systems, ACM Transactions on Multimedia Computing Communications and Applications and Multimedia Systems.

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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