L.M. Cheng

4.5k total citations · 1 hit paper
127 papers, 3.3k citations indexed

About

L.M. Cheng is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, L.M. Cheng has authored 127 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 33 papers in Electrical and Electronic Engineering and 28 papers in Artificial Intelligence. Recurrent topics in L.M. Cheng's work include Chaos-based Image/Signal Encryption (29 papers), Advanced Steganography and Watermarking Techniques (25 papers) and Digital Media Forensic Detection (18 papers). L.M. Cheng is often cited by papers focused on Chaos-based Image/Signal Encryption (29 papers), Advanced Steganography and Watermarking Techniques (25 papers) and Digital Media Forensic Detection (18 papers). L.M. Cheng collaborates with scholars based in Hong Kong, United States and China. L.M. Cheng's co-authors include Chi-Kwong Chan, Edward G. Lakatta, Rebecca Pauly, Robert E. Monticone, Bertram Sacktor, Jeffrey P. Froehlich, Michael T. Crow, L. L. Cheng, Antonino Passaniti and C. T. Liang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Circulation Research.

In The Last Decade

L.M. Cheng

117 papers receiving 3.0k citations

Hit Papers

Hiding data in images by simple LSB substitution 2003 2026 2010 2018 2003 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.M. Cheng Hong Kong 23 1.7k 427 378 346 321 127 3.3k
Mao Yang China 26 253 0.2× 1.3k 2.9× 499 1.3× 348 1.0× 294 0.9× 90 3.3k
Francisco Tirado Spain 19 325 0.2× 825 1.9× 197 0.5× 99 0.3× 201 0.6× 97 2.0k
Terry E. Weymouth United States 17 1.2k 0.7× 772 1.8× 89 0.2× 41 0.1× 139 0.4× 59 2.6k
David Salomon United States 26 396 0.2× 1.5k 3.5× 160 0.4× 44 0.1× 349 1.1× 67 3.8k
Dexin Zhang China 24 245 0.1× 1.2k 2.8× 225 0.6× 241 0.7× 784 2.4× 77 2.7k
Rosalba Giugno Italy 31 522 0.3× 1.5k 3.5× 230 0.6× 164 0.5× 639 2.0× 108 2.8k
Chao Tian United States 31 454 0.3× 539 1.3× 1.3k 3.4× 203 0.6× 75 0.2× 212 3.2k
Yonghong Chen China 21 244 0.1× 164 0.4× 484 1.3× 375 1.1× 49 0.2× 98 1.8k
Christopher J. Hughes United States 30 248 0.1× 416 1.0× 1.6k 4.3× 291 0.8× 63 0.2× 92 3.6k
Raghu Machiraju United States 27 1.0k 0.6× 464 1.1× 68 0.2× 40 0.1× 115 0.4× 143 2.4k

Countries citing papers authored by L.M. Cheng

Since Specialization
Citations

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

Fields of papers citing papers by L.M. Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L.M. Cheng

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

All Works

20 of 20 papers shown
1.
Cheng, L.M., et al.. (2024). Lower Limb Motor Intention Detection Model Based on Feature Fusion and Reinforcement Learning Assisted Approach. Computing and Informatics. 43(6). 1372–1396.
2.
Wang, Jia, Houbing Song, Jianqiang Li, Qiuzhen Lin, & L.M. Cheng. (2019). Modular exponential multivariate sequence and its application to lightweight security design. Future Generation Computer Systems. 98. 435–443. 1 indexed citations
3.
Wang, Jia, Jianqiang Li, Huihui Wang, et al.. (2018). Dynamic Scalable Elliptic Curve Cryptographic Scheme and Its Application to In-Vehicle Security. IEEE Internet of Things Journal. 6(4). 5892–5901. 22 indexed citations
4.
Cheng, L.M., et al.. (2016). A novel client service quality measuring model and an eHealthcare mitigating approach. International Journal of Medical Informatics. 91. e16–e31. 4 indexed citations
5.
Cheng, L.M., et al.. (2012). Robust digital image watermarking scheme using wave atoms with multiple description coding. EURASIP Journal on Advances in Signal Processing. 2012(1). 3 indexed citations
6.
Cheng, L.M., et al.. (2009). A fault-tolerant protocol for load balancing system. Ha'erbin gongye daxue xuebao. 41. 22–26. 3 indexed citations
7.
Zhao, Hongya, et al.. (2009). A probabilistic relaxation labeling framework for reducing the noise effect in geometric biclustering of gene expression data. Pattern Recognition. 42(11). 2578–2588. 17 indexed citations
8.
Cheng, L.M., et al.. (2008). An experimental study on a motion sensing system for sports training. UCL Discovery (University College London). 7 indexed citations
9.
Zhao, Hongya, K.L. Chan, L.M. Cheng, & Hong Yan. (2008). Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments. BMC Bioinformatics. 9(S1). S9–S9. 8 indexed citations
10.
Cheng, L.M., et al.. (2006). Service-aware Overlay Adaptation in Ambient Networks. 21–21. 6 indexed citations
11.
Cheng, L.M., et al.. (2006). Contextualisation of Management Overlays in Ambient Networks. 46–46. 2 indexed citations
13.
Chan, Chi-Kwong & L.M. Cheng. (2001). The convergence properties of a clipped Hopfield network and its application in the design of keystream generator. IEEE Transactions on Neural Networks. 12(2). 340–348. 18 indexed citations
14.
Chan, Chi-Kwong & L.M. Cheng. (2001). Improved hiding data in images by optimal moderately-significant-bitreplacement. Electronics Letters. 37(16). 1017–1018. 62 indexed citations
15.
Sollott, Steven J., L.M. Cheng, Rebecca Pauly, et al.. (1995). Taxol inhibits neointimal smooth muscle cell accumulation after angioplasty in the rat.. Journal of Clinical Investigation. 95(4). 1869–1876. 201 indexed citations
16.
Cheng, L.M., et al.. (1993). A Small Influence of HSP90 Levels on the Trehalose and Heat Shock Element Inductions of the Yeast Heat Shock Response. Biochemical and Biophysical Research Communications. 195(1). 201–207. 6 indexed citations
17.
Mackay, G M, et al.. (1992). Restrained front seat car occupant fatalities—The nature and circumstances of their injuries. Accident Analysis & Prevention. 24(3). 307–315. 22 indexed citations
18.
Liang, C. T., Hiroyuki Hanai, M. Ishida, L.M. Cheng, & Bertram Sacktor. (1990). Regulation of renal sodium calcium exchange by PTH: alteration with age.. Environmental Health Perspectives. 84. 137–140. 3 indexed citations
19.
Hanai, Hiroyuki, C. T. Liang, L.M. Cheng, & Bertram Sacktor. (1989). Desensitization to parathyroid hormone in renal cells from aged rats is associated with alterations in G-protein activity.. Journal of Clinical Investigation. 83(1). 268–277. 27 indexed citations
20.
Cheng, L.M. & R. E. Burge. (1984). WEAK PHASE, WEAK AMPLITUDE OBJECT DETERMINATION IN STEM USING QUADRANT DETECTORS: RESULTS OF COMPUTER SIMULATIONS.. Optik. 68(3). 229–246. 1 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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