Kevin M. Cherry

1.7k total citations · 3 hit papers
9 papers, 1.2k citations indexed

About

Kevin M. Cherry is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kevin M. Cherry has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kevin M. Cherry's work include AI in cancer detection (5 papers), Medical Image Segmentation Techniques (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Kevin M. Cherry is often cited by papers focused on AI in cancer detection (5 papers), Medical Image Segmentation Techniques (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Kevin M. Cherry collaborates with scholars based in United States and Canada. Kevin M. Cherry's co-authors include Lulu Qian, Ronald M. Summers, Le Lü, Ari Seff, Holger R. Roth, Jiamin Liu, Jianhua Yao, Lauren Kim, Shijun Wang and Evrim Türkbey and has published in prestigious journals such as Nature, Nature Communications and IEEE Transactions on Medical Imaging.

In The Last Decade

Kevin M. Cherry

9 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation

2015 417 citations Holger R. Roth, Le Lü et al. IEEE Transactions on Medical Imaging profile →
Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks

2018 348 citations Kevin M. Cherry, Lulu Qian Nature profile →
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations

2014 285 citations Holger R. Roth, Le Lü et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin M. Cherry United States	7	487	377	315	243	217	9	1.2k
Dahong Qian China	21	664 1.4×	156 0.4×	221 0.7×	265 1.1×	259 1.2×	61	1.3k
Richard E. Fan United States	22	522 1.1×	159 0.4×	217 0.7×	407 1.7×	142 0.7×	79	1.5k
Dong‐Hyun Kim South Korea	16	480 1.0×	120 0.3×	189 0.6×	167 0.7×	113 0.5×	81	1.2k
Tingying Peng Germany	15	473 1.0×	200 0.5×	501 1.6×	219 0.9×	318 1.5×	44	1.3k
Miao Liao China	25	244 0.5×	269 0.7×	184 0.6×	134 0.6×	908 4.2×	102	1.6k
Axel Wismüller United States	32	1.1k 2.2×	85 0.2×	486 1.5×	237 1.0×	292 1.3×	129	1.9k
Gregor Urban United States	12	454 0.9×	115 0.3×	381 1.2×	143 0.6×	398 1.8×	24	1.6k
Ioannis Kalatzis Greece	19	356 0.7×	108 0.3×	294 0.9×	119 0.5×	193 0.9×	73	946
Fujun Liu United States	10	246 0.5×	176 0.5×	439 1.4×	78 0.3×	301 1.4×	21	870
Jiayin Zhou China	20	301 0.6×	55 0.1×	256 0.8×	199 0.8×	448 2.1×	91	1.3k

Countries citing papers authored by Kevin M. Cherry

Since Specialization

Citations

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

Fields of papers citing papers by Kevin M. Cherry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin M. Cherry. 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 Kevin M. Cherry. The network helps show where Kevin M. Cherry may publish in the future.

Co-authorship network of co-authors of Kevin M. Cherry

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

9 of 9 papers shown

1.

Cherry, Kevin M. & Lulu Qian. (2025). Supervised learning in DNA neural networks. Nature. 645(8081). 639–647. 1 indexed citations

2.

Cherry, Kevin M., et al.. (2023). SUMMIT: Scaffolding Open Source Software Issue Discussion Through Summarization. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW2). 1–27. 2 indexed citations

3.

Cherry, Kevin M. & Lulu Qian. (2018). Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks. Nature. 559(7714). 370–376. 348 indexed citations breakdown →

4.

Thachuk, Chris, et al.. (2017). Compiler-aided systematic construction of large-scale DNA strand displacement circuits using unpurified components. Nature Communications. 8(1). 14373–14373. 59 indexed citations

5.

Roth, Holger R., Le Lü, Jiamin Liu, et al.. (2015). Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation. IEEE Transactions on Medical Imaging. 35(5). 1170–1181. 417 indexed citations breakdown →

6.

Roth, Holger R., Le Lü, Ari Seff, et al.. (2014). A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations. arXiv (Cornell University). 285 indexed citations breakdown →

7.

Cherry, Kevin M., Lauren Kim, Shijun Wang, et al.. (2014). Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression. Medical Image Analysis. 19(1). 164–175. 9 indexed citations

8.

Seff, Ari, Le Lü, Kevin M. Cherry, et al.. (2014). 2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. Lecture notes in computer science. 17(Pt 1). 544–552. 40 indexed citations

9.

Cherry, Kevin M., Shijun Wang, Evrim Türkbey, & Ronald M. Summers. (2014). Abdominal lymphadenopathy detection using random forest. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9035. 90351G–90351G. 16 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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