2026 Heng-Da Cheng: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	54	4483	4354	2096	2021	256	15296

Overview

Heng-Da Cheng is affiliated with Utah State University in the United States. Their research spans multiple disciplines including Engineering, Computer Science, and Medicine, demonstrating a cross-disciplinary approach that integrates computational methods with practical applications.

Their major fields of study include:

Engineering
Computer Science
Medicine

The subfields Cheng frequently contributes to are:

Artificial Intelligence
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Radiology, Nuclear Medicine and Imaging
Mechanical Engineering

The scientist's work covers several main research topics, such as:

AI in cancer detection
Radiomics and Machine Learning in Medical Imaging
Medical Image Segmentation Techniques
Building Energy and Comfort Optimization
Energy Load and Power Forecasting
Infrastructure Maintenance and Monitoring
Smart Grid Energy Management

Heng-Da Cheng has published in a variety of academic venues, with frequent publications appearing in:

Energy and Buildings
Healthcare
SSRN Electronic Journal
IEEE Transactions on Intelligent Transportation Systems
Applied Intelligence

Several recent papers highlight Cheng's research contributions:

Ensemble 1-D CNN diagnosis model for VRF system refrigerant charge faults under heating condition, 2020, Energy and Buildings
CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning, 2020, IEEE Transactions on Intelligent Transportation Systems
SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling, 2020, Applied Intelligence
Self-Supervised Structure Learning for Crack Detection Based on Cycle-Consistent Generative Adversarial Networks, 2020, Journal of Computing in Civil Engineering
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation, 2022, Healthcare

Cheng's frequent collaborators include:

Yingtao Zhang
Huanxin Chen
Min Xian
Shouhua Luo
Kuan Huang

Best Publications

Color image segmentation: advances and prospects

Heng-Da Cheng;Xihua Jiang;Ying Sun;Jingli Wang

2429
Citations
Automated breast cancer detection and classification using ultrasound images: A survey

H. D. Cheng;Juan Shan;Wen Ju;Yanhui Guo

893
Citations
Computer-aided detection and classification of microcalcifications in mammograms: a survey

Heng-Da Cheng;Xiaopeng Cai;Xiaowei Chen;Liming Hu

819
Citations
Approaches for automated detection and classification of masses in mammograms

H. D. Cheng;X. J. Shi;R. Min;L. M. Hu

769
Citations
A simple and effective histogram equalization approach to image enhancement

Heng-Da Cheng;X. J. Shi

518
Citations
A hierarchical approach to color image segmentation using homogeneity

Heng-Da Cheng;Ying Sun

451
Citations
Threshold selection based on fuzzy c-partition entropy approach

Heng-Da Cheng;Jim-Rong Chen;Jiguang Li

367
Citations
A novel approach to microcalcification detection using fuzzy logic technique

Heng-Da Cheng;Yui Man Lui;R.I. Freimanis

360
Citations
New neutrosophic approach to image segmentation

Yanhui Guo;H. D. Cheng

307
Citations
Novel Approach to Pavement Cracking Detection Based on Fuzzy Set Theory

H. D. Cheng;Jim-Rong Chen;Chris Glazier;Y. G. Hu

281
Citations
Automatic Breast Ultrasound Image Segmentation: A Survey

Min Xian;Yingtao Zhang;Heng-Da Cheng;Heng-Da Cheng;Fei Xu

276
Citations
Color image segmentation based on homogram thresholding and region merging

Heng-Da Cheng;Xihua Jiang;Jingli Wang

265
Citations
A novel fuzzy logic approach to contrast enhancement

Heng-Da Cheng;Hui juan Xu

257
Citations
A novel fuzzy entropy approach to image enhancement and thresholding

H. D. Cheng;Yen-Hung Cheng;Ying Sun

241
Citations
Unified Approach to Pavement Crack and Sealed Crack Detection Using Preclassification Based on Transfer Learning

Kaige Zhang;H. D. Cheng;Boyu Zhang

238
Citations
A neutrosophic approach to image segmentation based on watershed method

Ming Zhang;Ling Zhang;H. D. Cheng

227
Citations
Thresholding using two-dimensional histogram and fuzzy entropy principle

H.D. Cheng;Y.H. Chen;X.H. Jiang

215
Citations
Automatic pavement distress detection system

H. D. Cheng;M. Miyojim

201
Citations
Fully automatic and segmentation-robust classification of breast tumors based on local texture analysis of ultrasound images

Bo Liu;H. D. Cheng;Jianhua Huang;Jiawei Tian

195
Citations
CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning

Kaige Zhang;Yingtao Zhang;Heng-Da Cheng

181
Citations
A Neutrosophic Approach to Image Segmentation Based on Watershed Method

Ming Zhang;LingZhang;H.D.Cheng

1
Citations

Frequent Co-Authors

Yanhui Guo Fudan University

King-Sun Fu Purdue University West Lafayette

Christopher M. U. Neale University of Nebraska–Lincoln

Jeffrey J. McDonnell University of Saskatchewan

Ching Y. Suen Concordia University

Rutvik H. Desai University of South Carolina

YangQuan Chen University of California, Merced

Yao Zhao Beijing Jiaotong University

Yuan Yan Tang University of Macau

External Links

Personal website of Heng-Da Cheng Google Scholar page

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