Kong Xiangquan

456 citations
27 papers · 343 indexed · h-index 9

Kong Xiangquan

23 papers receiving 337 citations

Peers

Kong Xiangquan
Comparison fields: 5 of 81
  • Internal Medicine 28
  • Electrochemistry 32
  • Complementary and alternative medicine 35
  • Radiology, Nuclear Medicine and Imaging 95
  • Critical Care and Intensive Care Medicine 16
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Peter Cheung United States
Spencer Rosero United States
Ans C.P. Wiesfeld Netherlands
Haili Wang China
Douglas R. Hansmann United States
Deepak Bhakta United States
Isabel Trapero Spain
Julie L. Bykowski United States
Chung‐Chuan Chou Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Kong Xiangquan

Since Specialization
Citations

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

Fields of papers citing papers by Kong Xiangquan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202224
2 202110
3 202024
4 201914
5 20171
6 201531
7 201559
8 20135
9 201388
10 20111
11 20096
12 20082
13 200743
14 20050
15 20041
16 20040
17
[Integrated methods for assessing auditory nerve-auditory pathway integrity].
20031
18
A Contrast Study of the Simple and Complex Finger Tapping for Motor Activation by Using Functional MRI
20021
19
An experimental study on acute cerebral ischemia and reperfusion with magnetic resonance diffusion weightedimaging
19992
20 19971

About Kong Xiangquan

Kong Xiangquan is a scholar working on Radiology, Nuclear Medicine and Imaging, Internal Medicine and Neurology, having authored 27 papers that have together received 343 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (8 papers), Peripheral Nerve Disorders (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), MRI in cancer diagnosis (3 papers), Peripheral Neuropathies and Disorders (3 papers), Hereditary Neurological Disorders (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Internal Medicine (28 citations), Electrochemistry (32 citations) and Complementary and alternative medicine (35 citations). Kong Xiangquan has collaborated with scholars based in China and Germany. Frequent co-authors include Dingxi Liu, Xing Chen, You‐Nian Liu, Shouzhuo Yao, Rong Cai, Zhaohui Zhang, Min Zhou, Ting Guo, Xi Long and Chengjun Dong. Their work appears in journals such as PLoS ONE, The Analyst and Frontiers in 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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