Fanhua Ming

530 total citations · 1 hit paper
7 papers, 351 citations indexed

About

Fanhua Ming is a scholar working on Gastroenterology, Surgery and Oncology. According to data from OpenAlex, Fanhua Ming has authored 7 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Gastroenterology, 3 papers in Surgery and 3 papers in Oncology. Recurrent topics in Fanhua Ming's work include Gastrointestinal Bleeding Diagnosis and Treatment (5 papers), Colorectal Cancer Screening and Detection (3 papers) and Gastric Cancer Management and Outcomes (2 papers). Fanhua Ming is often cited by papers focused on Gastrointestinal Bleeding Diagnosis and Treatment (5 papers), Colorectal Cancer Screening and Detection (3 papers) and Gastric Cancer Management and Outcomes (2 papers). Fanhua Ming collaborates with scholars based in China and Canada. Fanhua Ming's co-authors include Huiying Shi, Zhen Ding, Kun Zhang, Xiaohua Hou, Chaoqun Han, Hao Zhang, Rong Lin, Mengke Fan, Xiaoping Xie and Jun Liu and has published in prestigious journals such as Gastroenterology, Gut and Journal of Controlled Release.

In The Last Decade

Fanhua Ming

5 papers receiving 343 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gastroenterologist-Level Identification of Small-Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-Learning Model

2019 218 citations Zhen Ding, Huiying Shi et al. Gastroenterology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fanhua Ming China	5	157	157	131	100	95	7	351
Zelong Han China	13	166 1.1×	142 0.9×	204 1.6×	59 0.6×	135 1.4×	41	481
Yoshito Takemura Japan	8	203 1.3×	114 0.7×	150 1.1×	88 0.9×	135 1.4×	10	391
Noboru Yatagai Japan	10	117 0.7×	70 0.4×	156 1.2×	43 0.4×	164 1.7×	28	309
João Afonso Portugal	14	277 1.8×	224 1.4×	197 1.5×	98 1.0×	212 2.2×	55	479
Mitsuaki Ishioka Japan	12	214 1.4×	69 0.4×	269 2.1×	88 0.9×	209 2.2×	34	552
Ken Namikawa Japan	12	319 2.0×	92 0.6×	424 3.2×	141 1.4×	282 3.0×	43	596
Tiago Ribeiro Portugal	15	285 1.8×	236 1.5×	208 1.6×	97 1.0×	219 2.3×	57	506
Motoi Miura Japan	4	210 1.3×	68 0.4×	191 1.5×	127 1.3×	128 1.3×	8	394
Jun Ki Min South Korea	8	124 0.8×	29 0.2×	77 0.6×	66 0.7×	60 0.6×	14	285
Kenichi Takeda Japan	9	433 2.8×	60 0.4×	252 1.9×	235 2.4×	155 1.6×	21	575

Countries citing papers authored by Fanhua Ming

Since Specialization

Citations

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

Fields of papers citing papers by Fanhua Ming

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanhua Ming

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Zhang, Kun, Fanhua Ming, Biao Chen, et al.. (2025). A novel scheme for non-invasive drug delivery with a magnetically controlled drug delivering capsule endoscope. Journal of Controlled Release. 381. 113591–113591.

2.

Shi, Huiying, et al.. (2022). A novel intelligent chromo capsule endoscope for the diagnosis of neoplastic lesions in the gastrointestinal tract. Gastroenterology report. 11. goad021–goad021.

3.

Ding, Zhen, Huiying Shi, Hang Zhang, et al.. (2022). Artificial intelligence-based diagnosis of abnormalities in small-bowel capsule endoscopy. Endoscopy. 55(1). 44–51. 18 indexed citations

4.

Ding, Zhen, Kun Zhang, Fanhua Ming, et al.. (2021). Novel scheme for non-invasive gut bioinformation acquisition with a magnetically controlled sampling capsule endoscope. Gut. 70(12). 2297–2306. 32 indexed citations

5.

Tian, Shan, Na Zhan, Jingjing Ma, et al.. (2021). Accurate diagnosis and prognosis prediction of gastric cancer using deep learning on digital pathological images: A retrospective multicentre study. EBioMedicine. 73. 103631–103631. 78 indexed citations

6.

Ding, Zhen, Huiying Shi, Hao Zhang, et al.. (2019). Gastroenterologist-Level Identification of Small-Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-Learning Model. Gastroenterology. 157(4). 1044–1054.e5. 218 indexed citations breakdown →

7.

Li, Chunyuan, et al.. (2012). Online redundant image elimination and its application to wireless capsule endoscopy. Signal Image and Video Processing. 8(8). 1497–1506. 5 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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