Guoqing Ding

829 citations
80 papers · 521 indexed · h-index 13

Impact in

  • Urology top 5%
    • Urinary Bladder and Prostate Research
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Guoqing Ding

69 papers receiving 508 citations

Peers

Guoqing Ding
Comparison fields: 5 of 115
  • Urology 73
  • Cancer Research 133
  • Gastroenterology 19
  • Surgery 109
  • Pulmonary and Respiratory Medicine 79
Replace Aditya Sharma with:
Aditya Sharma India
Yufan Wu China
Iulia Andraș Romania
Nicolae Crişan Romania
Sinem Perk United States
Yisong Lv China
Bong‐Wan Kim South Korea
Masaki Kawamoto Japan
Zhaolun Li China
Chou United States
Guoqing Ding relative to Aditya Sharma India Aditya Sharma's profile →
Citations per field
00.5×3.8×
Aditya Sharma · 1×
Citations per year

Countries citing papers authored by Guoqing Ding

Since Specialization
Citations

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

Fields of papers citing papers by Guoqing Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20257
4 20250
5 20240
6 20226
7 20215
8 20215
9 202121
10 20212
11 20198
12 20198
13 201979
14
Fish recognition using convolutional neural network
201718
15 201610
16 20124
17 201210
18
Task distribution of multi-Agent systems
20051
19 20034
20
Clinical applications of virtual endoscopy based on spiral CT scan in bladder neoplasm
20021

About Guoqing Ding

Guoqing Ding is a scholar working on Urology, Obstetrics and Gynecology, Computer Vision and Pattern Recognition, Surgery and Pulmonary and Respiratory Medicine, having authored 80 papers that have together received 521 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (10 papers), Advanced Measurement and Metrology Techniques (8 papers), Optical measurement and interference techniques (7 papers), Ureteral procedures and complications (6 papers), Pediatric Urology and Nephrology Studies (6 papers), Urinary Bladder and Prostate Research (5 papers), Kidney Stones and Urolithiasis Treatments (4 papers) and Anatomy and Medical Technology (4 papers). The work is most often cited by research in Urology (73 citations), Cancer Research (133 citations), Gastroenterology (19 citations), Surgery (109 citations) and Pulmonary and Respiratory Medicine (79 citations). Guoqing Ding has collaborated with scholars based in China, Sweden and France. Frequent co-authors include Gonghui Li, Yanlan Yu, Fengbin Gao, Qian He, Sheng Cheng, Shicheng Yu, Qiming Zheng, Dongdong Yu, Zhoujun Shen and Weiping Zhao. Their work appears in journals such as The Journal of Urology, Measurement Science and Technology, Journal of Zhejiang University SCIENCE B, Sensors and Actuators A Physical and IEEE Transactions on Instrumentation and Measurement.

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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