Weiling Hu

870 total citations
28 papers, 607 citations indexed

About

Weiling Hu is a scholar working on Oncology, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Weiling Hu has authored 28 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 11 papers in Surgery and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Weiling Hu's work include Colorectal Cancer Screening and Detection (12 papers), Helicobacter pylori-related gastroenterology studies (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Weiling Hu is often cited by papers focused on Colorectal Cancer Screening and Detection (12 papers), Helicobacter pylori-related gastroenterology studies (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Weiling Hu collaborates with scholars based in China, New Zealand and United States. Weiling Hu's co-authors include Huilong Duan, Jiquan Liu, Jianmin Si, Ning Dai, Xu Zhang, Fei Chen, Yuqin Shen, Tao Yu, Linlin Tang and Mengque Xu and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Weiling Hu

28 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiling Hu China 12 276 160 148 120 114 28 607
Yoshihiro Sasaki Japan 13 208 0.8× 184 1.1× 282 1.9× 89 0.7× 94 0.8× 53 641
Ron Winograd Germany 11 231 0.8× 94 0.6× 122 0.8× 34 0.3× 65 0.6× 16 449
Shan Lei China 10 416 1.5× 273 1.7× 176 1.2× 53 0.4× 245 2.1× 20 729
Michalis Tzivras Greece 15 335 1.2× 181 1.1× 327 2.2× 92 0.8× 125 1.1× 39 987
Liwen Yao China 14 367 1.3× 250 1.6× 124 0.8× 111 0.9× 215 1.9× 35 632
Liliangzi Guo China 9 377 1.4× 257 1.6× 121 0.8× 79 0.7× 109 1.0× 19 578
Yoo Min Han South Korea 11 186 0.7× 111 0.7× 214 1.4× 62 0.5× 68 0.6× 39 563
Shengbing Zhao China 12 521 1.9× 395 2.5× 211 1.4× 154 1.3× 116 1.0× 29 808
Kyung Jin Seo South Korea 14 182 0.7× 116 0.7× 183 1.2× 111 0.9× 54 0.5× 77 656
Jung Ho Bae South Korea 15 244 0.9× 198 1.2× 299 2.0× 22 0.2× 99 0.9× 55 734

Countries citing papers authored by Weiling Hu

Since Specialization
Citations

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

Fields of papers citing papers by Weiling Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiling Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiling Hu. A scholar is included among the top collaborators of Weiling Hu 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 Weiling Hu. Weiling Hu 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
1.
2.
Hu, Weiling, et al.. (2023). FFMAVP: a new classifier based on feature fusion and multitask learning for identifying antiviral peptides and their subclasses. Briefings in Bioinformatics. 24(6). 8 indexed citations
3.
Yu, Tao, Huiyi Hu, Jiquan Liu, et al.. (2022). Real-Time Multi-Label Upper Gastrointestinal Anatomy Recognition from Gastroscope Videos. Applied Sciences. 12(7). 3306–3306. 1 indexed citations
4.
Zheng, Wenfang, Ping Song, Pan Liu, et al.. (2022). SHP2 inhibition mitigates adaptive resistance to MEK inhibitors in KRAS-mutant gastric cancer through the suppression of KSR1 activity. Cancer Letters. 555. 216029–216029. 10 indexed citations
5.
Yu, Tao, Xu Zhang, Huiyi Hu, et al.. (2022). An end-to-end tracking method for polyp detectors in colonoscopy videos. Artificial Intelligence in Medicine. 131. 102363–102363. 11 indexed citations
6.
Yu, Tao, Xiaoyan Zhang, Yihe Chen, et al.. (2022). Multi-label recognition of cancer-related lesions with clinical priors on white-light endoscopy. Computers in Biology and Medicine. 143. 105255–105255. 8 indexed citations
7.
Xu, Mengque, Yuqin Shen, Mengsha Cen, et al.. (2021). Modulation of the Gut Microbiota-farnesoid X Receptor Axis Improves Deoxycholic Acid-induced Intestinal Inflammation in Mice. Journal of Crohn s and Colitis. 15(7). 1197–1210. 53 indexed citations
8.
Xu, Mengque, Mengsha Cen, Yuqin Shen, et al.. (2020). Deoxycholic Acid-Induced Gut Dysbiosis Disrupts Bile Acid Enterohepatic Circulation and Promotes Intestinal Inflammation. Digestive Diseases and Sciences. 66(2). 568–576. 89 indexed citations
9.
Zheng, Wenfang, Tao Yu, Guoliang Ye, et al.. (2020). Tu1075 DEEP CONVOLUTIONAL NEURAL NETWORKS FOR RECOGNITION OF ATROPHIC GASTRITIS AND INTESTINAL METAPLASIA BASED ON ENDOSCOPY IMAGES. Gastrointestinal Endoscopy. 91(6). AB533–AB534. 4 indexed citations
10.
Zhang, Xu, Fei Chen, Tao Yu, et al.. (2019). Real-time gastric polyp detection using convolutional neural networks. PLoS ONE. 14(3). e0214133–e0214133. 123 indexed citations
11.
He, Huiqin, Ning Dai, Weiling Hu, et al.. (2017). Accuracy of ASGE high-risk criteria in evaluation of patients with suspected common bile duct stones. Gastrointestinal Endoscopy. 86(3). 525–532. 58 indexed citations
12.
Zhang, Xu, Weiling Hu, Fei Chen, et al.. (2017). Gastric precancerous diseases classification using CNN with a concise model. PLoS ONE. 12(9). e0185508–e0185508. 59 indexed citations
13.
Hu, Weiling, Xu Zhang, Bin Wang, et al.. (2016). Homographic Patch Feature Transform: A Robustness Registration for Gastroscopic Surgery. PLoS ONE. 11(4). e0153202–e0153202. 3 indexed citations
14.
Hu, Weiling, Yu Zhang, Zhinong Jiang, et al.. (2016). The tumor promoting roles of erythropoietin/erythropoietin receptor signaling pathway in gastric cancer. Tumor Biology. 37(8). 11523–11533. 6 indexed citations
15.
Liu, Jiquan, Bin Wang, Weiling Hu, et al.. (2015). Global and Local Panoramic Views for Gastroscopy: An Assisted Method of Gastroscopic Lesion Surveillance. IEEE Transactions on Biomedical Engineering. 62(9). 2296–2307. 19 indexed citations
16.
Qin, Miao, Lanqing Ma, Juan Tan, et al.. (2014). Risk factors for colorectal neoplasms based on colonoscopy and pathological diagnoses of Chinese citizens: a multicenter, case-control study. International Journal of Colorectal Disease. 30(3). 353–361. 7 indexed citations
17.
Liu, Jiquan, et al.. (2014). A non-invasive navigation system for retargeting gastroscopic lesions. Bio-Medical Materials and Engineering. 24(6). 2673–2679. 3 indexed citations
18.
Wang, Bin, Weiling Hu, Jiquan Liu, Jianmin Si, & Huilong Duan. (2014). Gastroscopic Image Graph: Application to Noninvasive Multitarget Tracking under Gastroscopy. Computational and Mathematical Methods in Medicine. 2014. 1–9. 4 indexed citations
19.
Sun, Deyu, Weiling Hu, Wei Wu, et al.. (2011). Design of the Image-Guided Biopsy Marking System for Gastroscopy. Journal of Medical Systems. 36(5). 2909–2920. 9 indexed citations
20.
Cao, Qian, Qin Zhu, Minliang Wu, et al.. (2006). Genetic susceptibility to ulcerative colitis in the Chinese Han ethnic population: association with TNF polymorphisms. Chinese Medical Journal. 119(14). 1198–1203. 18 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.

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