Zhixiang Li

941 citations
67 papers · 588 indexed · h-index 13

Zhixiang Li

56 papers receiving 571 citations

Peers

Zhixiang Li
Comparison fields: 5 of 134
  • Modeling and Simulation 29
  • Numerical Analysis 27
  • Cancer Research 58
  • Genetics 39
  • Applied Mathematics 33
Replace Changjian Liu with:
Changjian Liu China
Peng Wan China
Urszula Siedlecka United Kingdom
Andraž Stožer Slovenia
Ting Zheng China
Martin L. Buist Singapore
Dehan Kong Canada
Yamashita Japan
Xuan Guan United States
Zhixiang Li relative to Changjian Liu China Changjian Liu's profile →
Citations per field
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Changjian Liu · 1×
Citations per year

Countries citing papers authored by Zhixiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhixiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20251
4 20244
5 20243
6 20240
7 20244
8 20241
9 202314
10 20231
11 202310
12 202213
13 20202
14 20170
15 20174
16 201712
17
The Evaluation about the Implementation Impact of the S&T Policy in Hebei Province
20091
18
Clinical application of laparoscopic splenectomy combined with pericardial devascularization
20091
19
A Comparison between Chinese and American Models of Human Resource Management in Higher Education Institutions
20060
20 19976

About Zhixiang Li

Zhixiang Li is a scholar working on Acoustics and Ultrasonics, Modeling and Simulation and Developmental Neuroscience, having authored 67 papers that have together received 588 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Image and Object Detection Techniques (4 papers), Nerve injury and regeneration (4 papers), Medical Image Segmentation Techniques (4 papers), Video Surveillance and Tracking Methods (3 papers), Fractional Differential Equations Solutions (3 papers), Nonlinear Differential Equations Analysis (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Modeling and Simulation (29 citations), Numerical Analysis (27 citations) and Cancer Research (58 citations). Zhixiang Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jen‐Kun Cheng, Kuender D. Yang, Sheng‐Jie Shiue, Xiao Wang, Xiao Wang, Yutaka Nagano, Masayuki Yokode, Hidenori Arai, Toru Kita and Yingji Mao. Their work appears in journals such as Food Chemistry, Pain and Free Radical Biology and Medicine.

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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