Ling-Hua Chang

36 total papers · 1.3k total citations
13 papers, 39 citations indexed

About

Ling-Hua Chang is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Ling-Hua Chang has authored 13 papers receiving a total of 39 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 7 papers in Electrical and Electronic Engineering and 4 papers in Molecular Biology. Recurrent topics in Ling-Hua Chang's work include Sparse and Compressive Sensing Techniques (7 papers), Wireless Communication Security Techniques (3 papers) and Coding theory and cryptography (3 papers). Ling-Hua Chang is often cited by papers focused on Sparse and Compressive Sensing Techniques (7 papers), Wireless Communication Security Techniques (3 papers) and Coding theory and cryptography (3 papers). Ling-Hua Chang collaborates with scholars based in Taiwan, China and Canada. Ling-Hua Chang's co-authors include Jwo-Yuh Wu, Vahid Shah‐Mansouri, Suyang Duan, Vincent W. S. Wong, Po‐Ning Chen, Jialin Wu, Yunghsiang S. Han, Chun‐Hung Liu, Chun-Yu Lai and Pei‐Chun Wong and has published in prestigious journals such as IEEE Transactions on Information Theory, Biomedicines and Microscopy and Microanalysis.

In The Last Decade

Ling-Hua Chang

9 papers receiving 39 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ling-Hua Chang 22 18 12 8 5 13 39
Ganghua Yang 9 0.4× 21 1.2× 5 0.4× 4 0.5× 9 32
Kihyun Kim 9 0.4× 20 1.1× 24 2.0× 28 3.5× 18 55
Hui Qian 6 0.3× 9 0.5× 7 0.6× 4 0.5× 14 19
Fabien Delalondre 6 0.3× 7 0.4× 8 0.7× 25 3.1× 2 0.4× 8 54
Alexander Lier 12 0.5× 12 0.7× 24 2.0× 3 0.4× 2 0.4× 13 70
N. D. Topilin 12 0.5× 16 0.9× 4 0.3× 3 0.4× 14 29
Gabriel Caumo Vaz 4 0.2× 21 1.2× 22 1.8× 3 0.4× 1 0.2× 12 55
S. Avdeev 16 0.7× 9 0.5× 5 0.4× 3 0.6× 10 36
C. Reimers 3 0.1× 6 0.3× 17 1.4× 2 0.3× 2 0.4× 11 43
Woopyo Jeong 10 0.5× 49 2.7× 36 3.0× 3 0.4× 12 65

Countries citing papers authored by Ling-Hua Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ling-Hua Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling-Hua Chang

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

All Works

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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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2026