Ting‐Chang Chang

22.8k total citations · 5 hit papers
719 papers, 19.1k citations indexed

About

Ting‐Chang Chang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Ting‐Chang Chang has authored 719 papers receiving a total of 19.1k indexed citations (citations by other indexed papers that have themselves been cited), including 661 papers in Electrical and Electronic Engineering, 233 papers in Materials Chemistry and 100 papers in Polymers and Plastics. Recurrent topics in Ting‐Chang Chang's work include Semiconductor materials and devices (337 papers), Thin-Film Transistor Technologies (270 papers) and Advanced Memory and Neural Computing (237 papers). Ting‐Chang Chang is often cited by papers focused on Semiconductor materials and devices (337 papers), Thin-Film Transistor Technologies (270 papers) and Advanced Memory and Neural Computing (237 papers). Ting‐Chang Chang collaborates with scholars based in Taiwan, China and United States. Ting‐Chang Chang's co-authors include Wei Lü, Sung Hyun Jo, Idongesit E. Ebong, Pinaki Mazumder, Simon M. Sze, Sung‐Hyun Jo, Kuan‐Chang Chang, Tsung‐Ming Tsai, Siddharth Gaba and Po‐Tsun Liu and has published in prestigious journals such as Advanced Materials, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Ting‐Chang Chang

698 papers receiving 18.7k citations

Hit Papers

Nanoscale Memristor Device as Synapse in Neuromorphic Sys... 2010 2026 2015 2020 2010 2012 2011 2015 2015 1000 2.0k 3.0k

Peers

Ting‐Chang Chang
Comparison fields: 5 of 141
  • Electrical and Electronic Engineering 17.2k
  • Cellular and Molecular Neuroscience 5.1k
  • Materials Chemistry 4.7k
  • Polymers and Plastics 3.6k
  • Cognitive Neuroscience 1.6k
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Citations per field, relative to Ting‐Chang Chang
Ting‐Chang Chang · 1×
Citations per year, relative to Ting‐Chang Chang
Ting‐Chang Chang · 1×

Countries citing papers authored by Ting‐Chang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ting‐Chang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting‐Chang 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 Ting‐Chang Chang. The network helps show where Ting‐Chang Chang may publish in the future.

Co-authorship network of co-authors of Ting‐Chang Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ting‐Chang Chang. A scholar is included among the top collaborators of Ting‐Chang 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 Ting‐Chang Chang. Ting‐Chang Chang 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
# Work Indexed citations
1 4
2 5
3 1
4 2
5 3
6 4
7 5
8 6
9 2
10 7
11 1
12 4
13 15
14 20
15 12
16 37
17 6
18 22
19 19
20 58

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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