Ting Chia Chang

27 papers receiving 3.1k citations

Hit Papers

High-Performance Single Layered WSe2 p-FETs with Chemical...20122026201620212012201350010001.5k

Peers

Ting Chia Chang
Comparison fields: 5 of 64
  • Materials Chemistry 2.2k
  • Electrical and Electronic Engineering 1.7k
  • Biomedical Engineering 880
  • Cellular and Molecular Neuroscience 276
  • Atomic and Molecular Physics, and Optics 142
Replace Surabhi R. Madhvapathy with:
Surabhi R. Madhvapathy United States
Jaewoo Shim South Korea
Lingan Kong China
Jiwan Kim South Korea
Joon Young Kwak South Korea
Jaewon Jang South Korea
Zhenghao Long China
Il‐Suk Kang South Korea
Sukjae Jang South Korea
Guoyun Gao China
Ting Chia Chang relative to Surabhi R. Madhvapathy United States Surabhi R. Madhvapathy's profile →
Citations per field
00.5×4.1×
Surabhi R. Madhvapathy · 1×
Citations per year

Countries citing papers authored by Ting Chia Chang

Since Specialization
Citations

This map shows the geographic impact of Ting Chia 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 Chia 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 Chia Chang more than expected).

Fields of papers citing papers by Ting Chia Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Chia Chang. A scholar is included among the top collaborators of Ting Chia 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 Chia Chang. Ting Chia 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
#WorkIndexed citations
1 11
2 8
3 41
4 101
5 172
6 1
7 45
8 15
9 13
10 2
11 11
12 22
13 38
14 37
15 189
16 13
17 23
18 25
19
Degenerate n-Doping of Few-Layer Transition Metal Dichalcogenides by Potassiumbreakdown →
646
20
High-Performance Single Layered WSe2 p-FETs with Chemically Doped Contactsbreakdown →
1552

About Ting Chia Chang

Ting Chia Chang is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 27 papers that have together received 3.1k indexed citations. Recurring topics across this work include Wireless Power Transfer Systems (18 papers), Wireless Body Area Networks (16 papers) and Energy Harvesting in Wireless Networks (14 papers). The work is most often cited by research in Materials Chemistry (2.2k citations), Electrical and Electronic Engineering (1.7k citations) and Biomedical Engineering (880 citations). Ting Chia Chang has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Ali Javey, Hui Fang, Kuniharu Takei, Steven S.C. Chuang, Toshitake Takahashi, Amin Arbabian, Jayant Charthad, Marcus J. Weber, Gyungseon Seol and Jing Guo. Their work appears in journals such as Nano Letters, Applied Physics Letters and The Journal of the Acoustical Society of America.

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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