He Cheng

733 total citations
19 papers, 544 citations indexed

About

He Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, He Cheng has authored 19 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in He Cheng's work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Anomaly Detection Techniques and Applications (4 papers). He Cheng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Anomaly Detection Techniques and Applications (4 papers). He Cheng collaborates with scholars based in United States, China and Canada. He Cheng's co-authors include Ji‐Guang Li, Yingtao Zhang, Boyu Zhang, Min Xian, Jianrui Ding, Fei Xu, Xiangjun Shi, Xue Mei, Jingli Wang and Kuan Huang and has published in prestigious journals such as Pattern Recognition, Neurocomputing and Signal Processing.

In The Last Decade

He Cheng

17 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
He Cheng United States 7 346 275 182 116 52 19 544
Lingqiao Li China 14 399 1.2× 266 1.0× 153 0.8× 118 1.0× 38 0.7× 44 678
Lazaros Tsochatzidis Greece 7 261 0.8× 258 0.9× 184 1.0× 47 0.4× 65 1.3× 14 514
Michalis A. Savelonas Greece 17 333 1.0× 278 1.0× 240 1.3× 49 0.4× 34 0.7× 59 694
Junqian Wang China 8 342 1.0× 223 0.8× 93 0.5× 126 1.1× 29 0.6× 16 533
Shaveta Arora India 9 290 0.8× 105 0.4× 113 0.6× 120 1.0× 50 1.0× 33 459
Min Dong China 7 139 0.4× 222 0.8× 160 0.9× 44 0.4× 60 1.2× 28 388
Annapurna Singh India 14 402 1.2× 277 1.0× 153 0.8× 57 0.5× 54 1.0× 32 587
Duc My Vo South Korea 9 221 0.6× 205 0.7× 158 0.9× 50 0.4× 41 0.8× 13 389
H.S. Bhadauria India 18 525 1.5× 351 1.3× 226 1.2× 139 1.2× 88 1.7× 62 920
I. El-Naqa United States 7 376 1.1× 381 1.4× 172 0.9× 54 0.5× 35 0.7× 9 699

Countries citing papers authored by He Cheng

Since Specialization
Citations

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

Fields of papers citing papers by He Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of He Cheng. A scholar is included among the top collaborators of He Cheng 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 He Cheng. He Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Cheng, He, Depeng Xu, & Shuhan Yuan. (2023). Explainable Sequential Anomaly Detection via Prototypes. 1–8. 2 indexed citations
2.
Cheng, He, Depeng Xu, & Shuhan Yuan. (2022). Sequential Anomaly Detection with Local and Global Explanations. 2022 IEEE International Conference on Big Data (Big Data). 1 indexed citations
3.
Zhang, Yingtao, He Cheng, Boyu Zhang, et al.. (2021). Tumor saliency estimation for breast ultrasound images via breast anatomy modeling. Artificial Intelligence in Medicine. 119. 102155–102155. 3 indexed citations
4.
Huang, Kuan, Yingtao Zhang, He Cheng, Ping Xing, & Boyu Zhang. (2021). Semantic segmentation of breast ultrasound image with fuzzy deep learning network and breast anatomy constraints. Neurocomputing. 450. 319–335. 44 indexed citations
5.
Han, Xiao, He Cheng, Depeng Xu, & Shuhan Yuan. (2021). InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data. 2021 IEEE International Conference on Big Data (Big Data). 1183–1192. 7 indexed citations
6.
Zhang, Yingtao, et al.. (2019). BA2Cs: Bounded abstaining with two constraints of reject rates in binary classification. Neurocomputing. 357. 125–134. 4 indexed citations
7.
Xian, Min, Yingtao Zhang, He Cheng, et al.. (2018). Automatic breast ultrasound image segmentation: A survey. Pattern Recognition. 79. 340–355. 205 indexed citations
8.
Wang, Ying, Hong Wang, Yanhui Guo, et al.. (2009). Novel Computer-Aided Diagnosis Algorithms on Ultrasound Image: Effects on Solid Breast Masses Discrimination. Journal of Digital Imaging. 23(5). 581–591. 5 indexed citations
9.
Cheng, He. (2008). A novel synchronization method for LFM based spread spectrum underwater acoustic communication. Applied Acoustics. 1 indexed citations
10.
Cheng, He, et al.. (2007). Novel Airborne Real-Time Survey System. IEEE Transactions on Instrumentation and Measurement. 56(6). 2404–2410. 2 indexed citations
11.
Cheng, He & Lei Wang. (2003). Energy-function approach to high-level synthesis scheduling. 6. 2961–2964.
12.
Cheng, He, Jingli Wang, & Xiangjun Shi. (2003). Microcalcification detection using fuzzy logic and scale space approaches. Pattern Recognition. 37(2). 363–375. 52 indexed citations
13.
Cheng, He, Xue Mei, & Xiangjun Shi. (2003). Contrast enhancement based on a novel homogeneity measurement. Pattern Recognition. 36(11). 2687–2697. 51 indexed citations
14.
Cheng, He, et al.. (1998). Threshold selection based on fuzzy c-partition entropy approach. Pattern Recognition. 31(7). 857–870. 151 indexed citations
15.
Mueller, R., He Cheng, & A. R. Barakat. (1998). Incoherent radar spectrum processing using neural network. Signal Processing. 69(2). 117–129. 1 indexed citations
16.
Cheng, He, et al.. (1996). Synthesized Images for Pavement Management System Design. Journal of Computing in Civil Engineering. 10(1). 60–66. 6 indexed citations
17.
Cheng, He, et al.. (1996). A novel parallel approach to character recognition and its VLSI implementation. Pattern Recognition. 29(1). 97–119. 4 indexed citations
18.
Cheng, He & Chunlei Xia. (1995). High-level synthesis: current status and future prospects. Circuits Systems and Signal Processing. 14(3). 351–400. 2 indexed citations
19.
Cheng, He, et al.. (1995). SHAPE RECOGNITION USING A FIXED-SIZE VLSI ARCHITECTURE. International Journal of Pattern Recognition and Artificial Intelligence. 9(1). 1–21. 3 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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