Huo-Chong Ling

About

Huo-Chong Ling is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Huo-Chong Ling has authored 16 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Huo-Chong Ling’s work include Advanced Steganography and Watermarking Techniques (7 papers), Chaos-based Image/Signal Encryption (5 papers) and Digital Media Forensic Detection (3 papers). Huo-Chong Ling is often cited by papers focused on Advanced Steganography and Watermarking Techniques (7 papers), Chaos-based Image/Signal Encryption (5 papers) and Digital Media Forensic Detection (3 papers). Huo-Chong Ling collaborates with scholars based in Malaysia, United Kingdom and Australia. Huo-Chong Ling's co-authors include Raphaël C.‐W. Phan, Swee‐Huay Heng, Pei‐Lee Teh, John See, Yandan Wang, Yee-Hui Oh, Yogachandran Rahulamathavan, Su‐Wei Tan, Xujie Li and Lenin Gopal and has published in prestigious journals such as Energy Conversion and Management, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Huo-Chong Ling i

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Fields of papers citing papers by Huo-Chong Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huo-Chong Ling. 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 Huo-Chong Ling. The network helps show where Huo-Chong Ling may publish in the future.

Countries citing papers authored by Huo-Chong Ling

Since Specialization

Citations

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

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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