Li-Hung Chang

1.1k citations
32 papers · 847 · h-index 16

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Neural and Behavioral Psychology Studies
    • Memory and Neural Mechanisms

Papers in

Li-Hung Chang

31 papers receiving 826 citations

Peers

Li-Hung Chang
Comparison fields: 5 of 99
  • Virology 95
  • Cognitive Neuroscience 310
  • Neurology 60
  • Pediatrics, Perinatology and Child Health 105
  • Cellular and Molecular Neuroscience 97
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Citations per field
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Citations per year

Countries citing papers authored by Li-Hung Chang

Since Specialization
Citations

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

Fields of papers citing papers by Li-Hung Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Li-Hung Chang, 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 Li-Hung Chang Line = papers co-authored together Li-Hung Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017122
2 201194
3 200971
4 200962
5 200949
6 201246
7 201444
8 199741
9 201238
10 200737
11 200036
12 200131
13 201423
14 200421
15 200721
16 201818
17 201416
18 202015
19 200712
20 20139

About Li-Hung Chang

Li-Hung Chang is a scholar working on Cognitive Neuroscience, Condensed Matter Physics, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Neurology, having authored 32 papers that have together received 847 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Semiconductor materials and devices (8 papers), Visual perception and processing mechanisms (8 papers), Copper Interconnects and Reliability (4 papers), GaN-based semiconductor devices and materials (4 papers), Vestibular and auditory disorders (3 papers), Semiconductor Quantum Structures and Devices (3 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). The work is most often cited by research in Virology (95 citations), Cognitive Neuroscience (310 citations), Neurology (60 citations), Pediatrics, Perinatology and Child Health (105 citations) and Cellular and Molecular Neuroscience (97 citations). Li-Hung Chang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yuka Sasaki, Takeo Watanabe, Kazuhisa Shibata, Thomas Ernst, Yuko Yotsumoto, Christine C. Cloak, Caroline S. Jiang, Maro G. Machizawa, Ji‐Jung Kai and Ji Won Bang. Their work appears in journals such as IEEE Electron Device Letters, Frontiers in Neuroscience, NeuroImage, Applied Physics Letters and Microscopy and Microanalysis.

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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