Cher-Keng Heng

1.8k total citations · 1 hit paper
5 papers, 502 citations indexed

About

Cher-Keng Heng is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Signal Processing. According to data from OpenAlex, Cher-Keng Heng has authored 5 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 1 paper in Molecular Biology and 1 paper in Signal Processing. Recurrent topics in Cher-Keng Heng's work include Advanced Image and Video Retrieval Techniques (3 papers), Face recognition and analysis (2 papers) and Advanced Neural Network Applications (2 papers). Cher-Keng Heng is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Face recognition and analysis (2 papers) and Advanced Neural Network Applications (2 papers). Cher-Keng Heng collaborates with scholars based in China and United States. Cher-Keng Heng's co-authors include Marzieh Haghighi, Minh Doan, Claire McQuin, Kyle W. Karhohs, Shantanu Singh, Anne E. Carpenter, Beth A. Cimini, Mohammad Hossein Rohban, Juan C. Caicedo and Tim Becker and has published in prestigious journals such as Nature Methods and Image and Vision Computing.

In The Last Decade

Cher-Keng Heng

5 papers receiving 497 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.

Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl

2019 463 citations Juan C. Caicedo, Allen Goodman et al. Nature Methods profile →

Peers

Cher-Keng Heng

CVPR

AI

BIOPH

MT

RNMI

Marzieh Haghighi United States

Tomasz Macura United States

Juan C. Caicedo United States

Ahmed Fakhry United States

Oren Kraus Canada

Neslihan Bayramoğlu Finland

David Joon Ho United States

Maria Frucci Italy

Paweł Filipczuk Poland

Charnchai Pluempitiwiriyawej Thailand

Marzieh Haghighi United States

Cher-Keng Heng

237 ×0.9

CVPR

220 ×1.0

AI

286 ×1.4

BIOPH

125 ×1.2

MT

100 ×1.0

RNMI

Citations per year, relative to Cher-Keng Heng Cher-Keng Heng (= 1×) peers Marzieh Haghighi

Countries citing papers authored by Cher-Keng Heng

Since Specialization

Citations

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

Fields of papers citing papers by Cher-Keng Heng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cher-Keng Heng. 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 Cher-Keng Heng. The network helps show where Cher-Keng Heng may publish in the future.

Co-authorship network of co-authors of Cher-Keng Heng

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

5 of 5 papers shown

1.

Caicedo, Juan C., Allen Goodman, Kyle W. Karhohs, et al.. (2019). Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl. Nature Methods. 16(12). 1247–1253. 463 indexed citations breakdown →

2.

Zheng, Wei, Luhong Liang, Hong Chang, et al.. (2012). Boosted translation-tolerable classifiers for fast object detection. Image and Vision Computing. 30(8). 480–491. 1 indexed citations

3.

Zhao, Xiaowei, Xiujuan Chai, Zhiheng Niu, Cher-Keng Heng, & Shiguang Shan. (2011). Context modeling for facial landmark detection based on Non-Adjacent Rectangle (NAR) Haar-like feature. Image and Vision Computing. 30(3). 136–146. 16 indexed citations

4.

Zhao, Xiaowei, Xiujuan Chai, Zhiheng Niu, Cher-Keng Heng, & Shiguang Shan. (2011). Context constrained facial landmark localization based on discontinuous Haar-like feature. 4642. 673–678. 7 indexed citations

5.

Ren, Haoyu, Cher-Keng Heng, Wei Zheng, Luhong Liang, & Xilin Chen. (2010). Fast object detection using boosted co-occurrence histograms of oriented gradients. 2705–2708. 15 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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