Weishun Lan

778 total citations
13 papers, 555 citations indexed

About

Weishun Lan is a scholar working on Obstetrics and Gynecology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Weishun Lan has authored 13 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Obstetrics and Gynecology, 4 papers in Oncology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Weishun Lan's work include COVID-19 Impact on Reproduction (4 papers), COVID-19 and healthcare impacts (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Weishun Lan is often cited by papers focused on COVID-19 Impact on Reproduction (4 papers), COVID-19 and healthcare impacts (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Weishun Lan collaborates with scholars based in China and United States. Weishun Lan's co-authors include Jinning Li, Dengbin Wang, Huanhuan Liu, Tingting Zhang, Fang Liu, Xufeng Wu, Tingting Zhang, Fang Liu, Zhen Li and Liang Wang and has published in prestigious journals such as Frontiers in Microbiology, Medical Physics and International Journal of Gynecology & Obstetrics.

In The Last Decade

Weishun Lan

13 papers receiving 541 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Weishun Lan China 8 252 195 147 133 131 13 555
Zhi Xiong China 5 493 2.0× 115 0.6× 221 1.5× 206 1.5× 46 0.4× 8 640
Leena B. Mithal United States 13 578 2.3× 77 0.4× 303 2.1× 259 1.9× 26 0.2× 32 865
Florin Gorun Romania 15 204 0.8× 177 0.9× 118 0.8× 55 0.4× 18 0.1× 40 524
Justine Chinn United States 9 87 0.3× 147 0.8× 62 0.4× 40 0.3× 18 0.1× 23 350
Thuy Nhu Thai United States 12 51 0.2× 33 0.2× 98 0.7× 65 0.5× 26 0.2× 27 463
Yanling Ge China 3 181 0.7× 549 2.8× 20 0.1× 17 0.1× 57 0.4× 6 693
Wang Jian-she China 3 177 0.7× 518 2.7× 19 0.1× 17 0.1× 57 0.4× 4 656
Oana Maria Gorun Romania 12 152 0.6× 138 0.7× 79 0.5× 41 0.3× 14 0.1× 20 352
Chiara Pilotto Italy 7 160 0.6× 266 1.4× 41 0.3× 46 0.3× 20 0.2× 17 496
Jiafeng Zheng China 8 110 0.4× 333 1.7× 40 0.3× 19 0.1× 31 0.2× 11 563

Countries citing papers authored by Weishun Lan

Since Specialization
Citations

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

Fields of papers citing papers by Weishun Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weishun Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Weishun Lan. A scholar is included among the top collaborators of Weishun Lan 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 Weishun Lan. Weishun Lan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Zheng, Rong, et al.. (2023). Attention-guided deep neural network with a multichannel architecture for lung nodule classification. Heliyon. 10(1). e23508–e23508. 7 indexed citations
2.
3.
Liu, Weihong, X Y Feng, Yanli Li, et al.. (2022). Artificial intelligence–based CT metrics used in predicting clinical outcome of COVID‐19 in young and middle‐aged adults. Medical Physics. 49(8). 5604–5615. 2 indexed citations
4.
Chen, Xiaohan, et al.. (2021). Automated COVID-19 Detection and Diagnosis Framework Based on Severity Assessment. Journal of Physics Conference Series. 1754(1). 12185–12185. 1 indexed citations
5.
Liu, Huanhuan, Liang Hou, Jinning Li, et al.. (2020). <p>Clinico-Radiological Features and Outcomes in Pregnant Women with COVID-19 Pneumonia Compared with Age-Matched Non-Pregnant Women</p>. Infection and Drug Resistance. Volume 13. 2845–2854. 23 indexed citations
6.
Liu, Huanhuan, Fang Liu, Jinning Li, et al.. (2020). Clinical and CT imaging features of the COVID-19 pneumonia: Focus on pregnant women and children. Journal of Infection. 80(5). e7–e13. 351 indexed citations
7.
8.
Liu, Huan‐Huan, Fang Liu, Jinning Li, et al.. (2020). COVID-19肺炎の臨床およびCT画像特徴:妊婦および小児に焦点を当てて【JST・京大機械翻訳】. Journal of Infection. 80(5). 7–13. 6 indexed citations
9.
10.
Liu, Huanhuan, Fang Liu, Jinning Li, et al.. (2020). Clinical and CT Imaging Features of the COVID-19 Pneumonia: Focus on Pregnant Women and Children. SSRN Electronic Journal. 35 indexed citations
11.
Li, Yanli, Jie Shi, Jianbo Xia, et al.. (2020). Clinical Features and Outcomes of 252 Asymptomatic and Mildly Symptomatic Patients with COVID-19 in a Temporary Cabin Hospital in Wuhan, China. SSRN Electronic Journal. 2 indexed citations
12.
Li, Yanli, et al.. (2016). Randomized controlled trial of hysteroscopy or ultrasonography versus no guidance during D&C after uterine artery chemoembolization for cesarean scar pregnancy. International Journal of Gynecology & Obstetrics. 135(2). 158–162. 23 indexed citations
13.
Lan, Weishun, et al.. (2013). Bilateral uterine artery chemoembolization combined with dilation and curettage for treatment of cesarean scar pregnancy: A method for preserving the uterus. Journal of obstetrics and gynaecology research. 39(6). 1153–1158. 28 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhi Xiong Breakdown of academic impact, for papers by Leena B. Mithal Breakdown of academic impact, for papers by Florin Gorun Breakdown of academic impact, for papers by Justine Chinn Breakdown of academic impact, for papers by Thuy Nhu Thai Breakdown of academic impact, for papers by Yanling Ge Breakdown of academic impact, for papers by Wang Jian-she Breakdown of academic impact, for papers by Oana Maria Gorun Breakdown of academic impact, for papers by Chiara Pilotto Breakdown of academic impact, for papers by Jiafeng Zheng
Rankless by CCL
2026