Yongyi Yang

1.4k total citations · 1 hit paper
6 papers, 976 citations indexed

About

Yongyi Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yongyi Yang has authored 6 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yongyi Yang's work include AI in cancer detection (3 papers), Image Retrieval and Classification Techniques (2 papers) and Retinal Imaging and Analysis (1 paper). Yongyi Yang is often cited by papers focused on AI in cancer detection (3 papers), Image Retrieval and Classification Techniques (2 papers) and Retinal Imaging and Analysis (1 paper). Yongyi Yang collaborates with scholars based in United States, Canada and Hong Kong. Yongyi Yang's co-authors include Jun Xu, Issam El Naqa, Jinshan Tang, Rangaraj M. Rangayyan, Robert M. Nishikawa, I. El-Naqa, Theodorus van der Kwast, John Trachtenberg, Miles N. Wernick and Andrew Evans and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Pediatric Radiology.

In The Last Decade

Yongyi Yang

4 papers receiving 894 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.

Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances

2009 431 citations Jinshan Tang, Rangaraj M. Rangayyan et al. IEEE Transactions on Information Technology in Biomedicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yongyi Yang United States	4	648	451	360	155	104	6	976
Dibendu Betal United Kingdom	11	764 1.2×	571 1.3×	360 1.0×	148 1.0×	166 1.6×	29	1.2k
Michael D. Heath United States	8	633 1.0×	789 1.7×	379 1.1×	98 0.6×	129 1.2×	14	1.3k
Jitendra Virmani India	21	711 1.1×	577 1.3×	522 1.4×	62 0.4×	101 1.0×	54	1.2k
Joan Martı́ Spain	13	533 0.8×	446 1.0×	321 0.9×	67 0.4×	143 1.4×	43	798
Marcelo Zanchetta do Nascimento Brazil	17	682 1.1×	508 1.1×	338 0.9×	82 0.5×	42 0.4×	91	997
Marcello Salmeri Italy	14	483 0.7×	407 0.9×	217 0.6×	53 0.3×	75 0.7×	74	812
Maha Sharkas Egypt	17	636 1.0×	318 0.7×	523 1.5×	57 0.4×	79 0.8×	40	1.1k
Veronika Cheplygina Netherlands	14	593 0.9×	464 1.0×	381 1.1×	65 0.4×	123 1.2×	24	1.3k
I. El-Naqa United States	7	381 0.6×	376 0.8×	172 0.5×	108 0.7×	37 0.4×	9	699
Rohit Kundu India	16	565 0.9×	246 0.5×	390 1.1×	51 0.3×	90 0.9×	23	954

Countries citing papers authored by Yongyi Yang

Since Specialization

Citations

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

Fields of papers citing papers by Yongyi Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongyi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongyi Yang. A scholar is included among the top collaborators of Yongyi Yang 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 Yongyi Yang. Yongyi Yang 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:

6 of 6 papers shown

1.

Kwatra, Neha, P. Hendrik Pretorius, S. Ted Treves, et al.. (2025). Weight-based determination of administered activity in 99mTc-DMSA renal SPECT in infants: are minimum administered activities necessary?. Pediatric Radiology. 55(4). 866–874.

2.

Gao, Jianyang, et al.. (2025). Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search. Proceedings of the ACM on Management of Data. 3(3). 1–26.

3.

Artan, Yusuf, Masoom A. Haider, Deanna L. Langer, et al.. (2010). Prostate Cancer Localization With Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields. IEEE Transactions on Image Processing. 19(9). 2444–2455. 103 indexed citations

4.

Tang, Jinshan, Rangaraj M. Rangayyan, Jun Xu, Issam El Naqa, & Yongyi Yang. (2009). Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances. IEEE Transactions on Information Technology in Biomedicine. 13(2). 236–251. 431 indexed citations breakdown →

5.

Dong, Ping, Jovan G. Brankov, N.P. Galatsanos, & Yongyi Yang. (2003). Geometric robust watermarking based on a new mesh model correction approach. Proceedings - International Conference on Image Processing. 1. 493–496. 19 indexed citations

6.

El-Naqa, I., et al.. (2002). A support vector machine approach for detection of microcalcifications. IEEE Transactions on Medical Imaging. 21(12). 1552–1563. 423 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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