L.M. Cheng

4.5k citations
127 papers · 3.3k · 1 hit paper · h-index 23

Impact in

Papers in

L.M. Cheng

117 papers receiving 3.0k citations

Hit Papers

Hiding data in images by simple LSB substitution 2003 · 1.2k citations
1.2k0+7+15Years since publication2505007501000

Peers

L.M. Cheng
Comparison fields: 5 of 152
  • Computer Vision and Pattern Recognition 1.7k
  • Signal Processing 260
  • Cancer Research 321
  • Immunology and Allergy 105
  • Computer Networks and Communications 378
Replace Michelle Gaasenbeek with:
Michelle Gaasenbeek United Kingdom
David Salomon United States
C. Huard Canada
Amir Ben‐Dor United States
Mao Yang China
Francisco Tirado Spain
Christine Ladd United States
Rosalba Giugno Italy
Anubha Gupta India
Wei‐Chung Cheng Taiwan
L.M. Cheng relative to Michelle Gaasenbeek United Kingdom Michelle Gaasenbeek's profile →
Citations per field
00.5×8.0×
Michelle Gaasenbeek · 1×
Citations per year

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-authors

The 25 scholars most cited alongside L.M. Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with L.M. Cheng Line = papers co-authored together L.M. Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hiding data in images by simple LSB substitution
Hit paper breakdown →
20031174
2 1994275
3 1995201
4
Increased expression of 72-kd type IV collagenase (MMP-2) in human aortic atherosclerotic lesions.
1996200
5 2000141
6 200162
7 200359
8 200157
9 198455
10 199448
11 200347
12 199347
13 200846
14 198045
15 201941
16 199934
17 199733
18 199033
19 200629
20 198927

About L.M. Cheng

L.M. Cheng is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications and Molecular Biology, having authored 127 papers that have together received 3.3k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (29 papers), Advanced Steganography and Watermarking Techniques (25 papers), Digital Media Forensic Detection (18 papers), Photonic and Optical Devices (14 papers), Semiconductor Lasers and Optical Devices (12 papers), Optical Network Technologies (10 papers), Neural Networks and Applications (10 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Signal Processing (260 citations), Cancer Research (321 citations), Immunology and Allergy (105 citations) and Computer Networks and Communications (378 citations). L.M. Cheng has collaborated with scholars based in Hong Kong, United States and China. Frequent 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. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Electronics Letters, American Journal of Physiology-Renal Physiology, Pattern Recognition and Optics Communications.

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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