Chang‐Hong Shen

1.2k citations
66 papers · 935 indexed · h-index 19
Topics
Semiconductor materials and devices (31 papers)Thin-Film Transistor Technologies (20 papers)Advanced Memory and Neural Computing (15 papers)
Journals
SHILAP Revista de lepidopterologíaACS NanoEnergy & Environmental Science
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Chang‐Hong Shen

64 papers receiving 912 citations

Peers

Chang‐Hong Shen
Comparison fields: 5 of 68
  • Electrical and Electronic Engineering 680
  • Materials Chemistry 415
  • Biomedical Engineering 203
  • Atomic and Molecular Physics, and Optics 94
  • Spectroscopy 92
Replace Qianlan Hu with:
Qianlan Hu China
In‐Seok Yeo South Korea
Robert H. Reuss United States
Jin-Ho Ahn South Korea
Wanzhen Lin China
Zhaoxin Geng China
Pragya R. Shrestha United States
Deping Huang China
Franz Schrank Austria
Chang‐Hong Shen relative to Qianlan Hu China Qianlan Hu's profile →
Citations per field
00.5×12.1×
Qianlan Hu · 1×
Citations per year

Countries citing papers authored by Chang‐Hong Shen

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Hong Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang‐Hong Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Hong Shen. A scholar is included among the top collaborators of Chang‐Hong Shen 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 Chang‐Hong Shen. Chang‐Hong Shen 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 0
2 0
3 9
4 4
5 3
6 2
7 1
8 5
9 4
10 20
11 6
12 28
13 1
14 10
15 14
16 1
17 12
18 79
19 38
20 25

About Chang‐Hong Shen

Chang‐Hong Shen is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Hardware and Architecture, having authored 66 papers that have together received 935 indexed citations. Recurring topics across this work include Semiconductor materials and devices (31 papers), Thin-Film Transistor Technologies (20 papers) and Advanced Memory and Neural Computing (15 papers). The work is most often cited by research in Electrical and Electronic Engineering (680 citations), Materials Chemistry (415 citations) and Spectroscopy (92 citations). Chang‐Hong Shen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jia‐Min Shieh, Yan‐Song Zheng, Chih-Chao Yang, Song Song, Hai‐Tao Feng, Yi‐Chang Chen, Tsung‐Ta Wu, Wen‐Kuan Yeh, Yu‐Lun Chueh and Tung-Ying Hsieh. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Energy & Environmental Science.

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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