Zongjie Wei

603 citations
24 papers · 385 indexed · h-index 11
Topics
Radiomics and Machine Learning in Medical Imaging (8 papers)Renal cell carcinoma treatment (7 papers)Bladder and Urothelial Cancer Treatments (6 papers)
Partner nations
ChinaUnited StatesPanama

In The Last Decade

Zongjie Wei

23 papers receiving 379 citations

Peers

Zongjie Wei
Comparison fields: 5 of 72
  • Molecular Biology 173
  • Pathology and Forensic Medicine 113
  • Cancer Research 91
  • Pulmonary and Respiratory Medicine 77
  • Surgery 61
Replace Kazuhiro Nagaoka with:
Kazuhiro Nagaoka Japan
Klaus Vuorinen Finland
Zheng Gong China
Jerusha K. Thedsanamoorthy United States
Borami Shin United States
Giovanna Ramirez-Barbieri United States
Kamila Moskowitzova United States
Arzoo Orfany United States
Chengfei Peng China
Jessica Kearney United Kingdom
Zongjie Wei relative to Kazuhiro Nagaoka Japan Kazuhiro Nagaoka's profile →
Citations per field
00.5×2.7×
Kazuhiro Nagaoka · 1×
Citations per year

Countries citing papers authored by Zongjie Wei

Since Specialization
Citations

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

Fields of papers citing papers by Zongjie Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongjie Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Zongjie Wei. A scholar is included among the top collaborators of Zongjie Wei 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 Zongjie Wei. Zongjie Wei 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 3
2 0
3 1
4 3
5 6
6 2
7 10
8 7
9 2
10 6
11 17
12 1
13 45
14 2
15 17
16 35
17 24
18 19
19 19
20 17

About Zongjie Wei

Zongjie Wei is a scholar working on Emergency Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 24 papers that have together received 385 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Renal cell carcinoma treatment (7 papers) and Bladder and Urothelial Cancer Treatments (6 papers). The work is most often cited by research in Developmental Neuroscience (30 citations), Pathology and Forensic Medicine (113 citations) and Cancer Research (91 citations). Zongjie Wei has collaborated with scholars based in China, United States and Panama. Frequent co-authors include Richard M. Engelman, Dipak K. Das, Nilanjana Maulik, Haitao Yu, Xiang Zhou, John A. Rousou, J. A. Rousou, Xinyuan Li, Xin Gou and David W. Deaton. Their work appears in journals such as Circulation, Frontiers in Immunology and Biochemical Pharmacology.

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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