Dakai Jin

135 total papers · 2.5k total citations
35 papers, 674 citations indexed

About

Dakai Jin is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dakai Jin has authored 35 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dakai Jin's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (12 papers) and Medical Image Segmentation Techniques (9 papers). Dakai Jin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (12 papers) and Medical Image Segmentation Techniques (9 papers). Dakai Jin collaborates with scholars based in United States, China and Taiwan. Dakai Jin's co-authors include Punam K. Saha, Le Lü, Dazhou Guo, Eric A. Hoffman, Jing Xiao, Cheng Chen, Krishna Iyer, Adam P. Harrison, Puyang Wang and Zihan Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Dakai Jin

33 papers receiving 668 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) 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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

LViT: Language Meets Vision Transformer in Medical Image Segmentation

2023 121 citations Zihan Li, Yunxiang Li et al. IEEE Transactions on Medical Imaging profile →

Author Peers

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

Author						Papers	Cites
Dakai Jin	364	201	150	144	137	35	674
Mohamed Shehata	370 1.0×	118 0.6×	145 1.0×	104 0.7×	142 1.0×	55	633
Jiawei Sun	399 1.1×	159 0.8×	188 1.3×	140 1.0×	127 0.9×	54	726
Zekun Jiang	412 1.1×	99 0.5×	156 1.0×	105 0.7×	153 1.1×	65	700
Kyong Joon Lee	215 0.6×	75 0.4×	79 0.5×	83 0.6×	96 0.7×	40	566
Adriana Gregory	444 1.2×	48 0.2×	142 0.9×	270 1.9×	69 0.5×	59	754
Hanns‐Christian Breit	509 1.4×	73 0.4×	90 0.6×	264 1.8×	126 0.9×	41	746
Soichiro Miki	319 0.9×	70 0.3×	151 1.0×	90 0.6×	201 1.5×	51	647
Gang Yu	254 0.7×	68 0.3×	143 1.0×	120 0.8×	86 0.6×	47	702
Ke Zhang	358 1.0×	148 0.7×	250 1.7×	130 0.9×	93 0.7×	35	697
Gian Marco Conte	410 1.1×	87 0.4×	89 0.6×	91 0.6×	49 0.4×	35	674

Countries citing papers authored by Dakai Jin

Since Specialization

Citations

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

Fields of papers citing papers by Dakai Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dakai Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Dakai Jin. A scholar is included among the top collaborators of Dakai Jin 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 Dakai Jin. Dakai Jin 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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