Fucang Jia

129 total papers · 5.1k total citations
84 papers, 1.6k citations indexed

About

Fucang Jia is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Fucang Jia has authored 84 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 27 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Biomedical Engineering. Recurrent topics in Fucang Jia's work include Medical Image Segmentation Techniques (24 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Surgical Simulation and Training (10 papers). Fucang Jia is often cited by papers focused on Medical Image Segmentation Techniques (24 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Surgical Simulation and Training (10 papers). Fucang Jia collaborates with scholars based in China, Hong Kong and United States. Fucang Jia's co-authors include Qingmao Hu, Li Wen, Baochun He, Jianhuang Wu, Chihua Fang, Yuhong Li, Jing Qin, Huoling Luo, Ahmed Elazab and Nan Xiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Fucang Jia

81 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fucang Jia	545	526	291	236	235	84	1.6k
Guangzhi Wang	331 0.6×	337 0.6×	542 1.9×	74 0.3×	106 0.5×	160	1.8k
Sharon Chen	700 1.3×	304 0.6×	242 0.8×	149 0.6×	273 1.2×	84	2.2k
Erik B. Dam	383 0.7×	377 0.7×	509 1.7×	101 0.4×	183 0.8×	75	2.4k
George K. Matsopoulos	589 1.1×	687 1.3×	290 1.0×	86 0.4×	296 1.3×	192	2.2k
Ahmed Soliman	345 0.6×	1.2k 2.3×	245 0.8×	141 0.6×	336 1.4×	109	1.9k
Harman S. Suri	226 0.4×	795 1.5×	151 0.5×	344 1.5×	564 2.4×	35	2.3k
Tae‐Seong Kim	645 1.2×	323 0.6×	450 1.5×	211 0.9×	375 1.6×	65	2.0k
Yongjin Zhou	289 0.5×	473 0.9×	592 2.0×	91 0.4×	199 0.8×	87	1.4k
Spyretta Golemati	359 0.7×	706 1.3×	259 0.9×	73 0.3×	288 1.2×	78	2.0k
Ming Yang	389 0.7×	441 0.8×	157 0.5×	697 3.0×	409 1.7×	67	2.1k

Countries citing papers authored by Fucang Jia

Since Specialization

Citations

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

Fields of papers citing papers by Fucang Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fucang Jia

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

All Works

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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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