Zhijian Wang

3.4k citations
102 papers · 1.8k indexed · 1 hit paper · h-index 21
Topics
Coronary Interventions and Diagnostics (21 papers)Pregnancy and preeclampsia studies (13 papers)Acute Myocardial Infarction Research (13 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBlood
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Zhijian Wang

94 papers receiving 1.8k citations

Hit Papers

Enhanced Performance of Brain Tumor Classification via Tu...20152026201820222015100200300400500

Peers

Zhijian Wang
Comparison fields: 5 of 112
  • Neurology 488
  • Cardiology and Cardiovascular Medicine 479
  • Computer Vision and Pattern Recognition 393
  • Surgery 318
  • Artificial Intelligence 257
Replace Johannes Lotz with:
Johannes Lotz Germany
Diana Dills United States
B. J. Shepstone United Kingdom
Xiang Ma China
Ronald P. Danis United States
Chiung‐Nien Chen Taiwan
Qiang Li China
Sharon D. Solomon United States
Ryan Lee United States
G. E. Lang Germany
Zhijian Wang relative to Johannes Lotz Germany Johannes Lotz's profile →
Citations per field
00.5×10.6×
Johannes Lotz · 1×
Citations per year

Countries citing papers authored by Zhijian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhijian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhijian Wang. A scholar is included among the top collaborators of Zhijian Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhijian Wang. Zhijian Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 0
5 1
6 5
7 2
8 1
9 1
10 4
11 5
12 19
13 36
14 1
15 152
16 19
17 1
18
[Multicenter analysis of risk factors and clinical characteristics of shoulder dystocia].
0
19 1
20 46

About Zhijian Wang

Zhijian Wang is a scholar working on Obstetrics and Gynecology, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 102 papers that have together received 1.8k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (21 papers), Pregnancy and preeclampsia studies (13 papers) and Acute Myocardial Infarction Research (13 papers). The work is most often cited by research in Neurology (488 citations), Cardiology and Cardiovascular Medicine (479 citations) and Computer Vision and Pattern Recognition (393 citations). Zhijian Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wei Yang, Shuangliang Cao, Zhaoqiang Yun, Jun Cheng, Qianjin Feng, Ru Yang, Wei Huang, Yujie Zhou, Xiaoteng Ma and Yingxin Zhao. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

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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