Mengqi Wei

484 citations
26 papers · 332 · h-index 11

Impact in

Papers in

Mengqi Wei

26 papers receiving 326 citations

Peers

Mengqi Wei
Comparison fields: 5 of 67
  • Radiology, Nuclear Medicine and Imaging 102
  • Food Science 41
  • Critical Care and Intensive Care Medicine 7
  • Pulmonary and Respiratory Medicine 47
  • Computer Science Applications 8
Replace Lili Xu with:
Lili Xu China
Matteo Nicolai Italy
Heba Hassan Egypt
Feixiang Xiang China
Wanyi Fu United States
Huali Li China
Irit Duek Israel
Mengqi Wei relative to Lili Xu China Lili Xu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mengqi Wei

Since Specialization
Citations

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

Fields of papers citing papers by Mengqi Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202164
2 201335
3 201633
4 201432
5 201322
6 201419
7 202319
8 201317
9 201415
10 201215
11 202012
12 20139
13 20235
14 20225
15 20195
16 20195
17 20244
18 20254
19
[Heart segmentation based on mathematical morphology And Otsu in visible human project images].
20073
20 20202

About Mengqi Wei

Mengqi Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Pulmonary and Respiratory Medicine, Artificial Intelligence and Obstetrics and Gynecology, having authored 26 papers that have together received 332 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Vehicle emissions and performance (1 paper), Aortic Disease and Treatment Approaches (1 paper), MRI in cancer diagnosis (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (102 citations), Food Science (41 citations), Critical Care and Intensive Care Medicine (7 citations), Pulmonary and Respiratory Medicine (47 citations) and Computer Science Applications (8 citations). Mengqi Wei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Minwen Zheng, Hongliang Zhao, Ying Liu, Lin Huang, Haizhen Mo, Jing Ren, Lishan Yao, Dan Xu, Jian Li and Liangbin Hu. Their work appears in journals such as European Radiology, Academic Radiology, PLoS ONE, IEEE Transactions on Multimedia and Future Oncology.

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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