I‐Ting Wang

1.7k citations
48 papers · 1.5k · h-index 17

Impact in

Papers in

I‐Ting Wang

46 papers receiving 1.4k citations

Peers

I‐Ting Wang
Comparison fields: 5 of 57
  • Cellular and Molecular Neuroscience 540
  • Electrical and Electronic Engineering 1.4k
  • Polymers and Plastics 176
  • Cognitive Neuroscience 129
  • Artificial Intelligence 180
Replace Jiaming Zhang with:
Jiaming Zhang United States
Tianqing Wan Hong Kong
Yong Lim South Korea
Beom Jin Kim South Korea
Shuang Pi United States
Alessandro Fumarola Switzerland
Mireia Bargalló González Spain
Ligang Gao United States
Fuyou Liao China
I‐Ting Wang relative to Jiaming Zhang United States Jiaming Zhang's profile →
Citations per field
00.5×2×4×6×7.5×
Jiaming Zhang · 1×
Citations per year

Countries citing papers authored by I‐Ting Wang

Since Specialization
Citations

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

Fields of papers citing papers by I‐Ting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside I‐Ting Wang, 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 I‐Ting Wang Line = papers co-authored together I‐Ting Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015194
2 2015173
3 2016171
4 2015128
5
Self-rectifying bipolar TaO x /TiO 2 RRAM with superior endurance over 10 12 cycles for 3D high-density storage-class memory
201391
6 201490
7 201480
8 201651
9 202149
10 202447
11 201339
12 202137
13 201934
14 201731
15 202228
16 201625
17 201324
18 201517
19 201317
20 202116

About I‐Ting Wang

I‐Ting Wang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Occupational Therapy, Polymers and Plastics and Materials Chemistry, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (30 papers), Ferroelectric and Negative Capacitance Devices (28 papers), Semiconductor materials and devices (15 papers), Neuroscience and Neural Engineering (10 papers), Photoreceptor and optogenetics research (4 papers), 3D IC and TSV technologies (3 papers), Ferroelectric and Piezoelectric Materials (3 papers) and Thin-Film Transistor Technologies (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (540 citations), Electrical and Electronic Engineering (1.4k citations), Polymers and Plastics (176 citations), Cognitive Neuroscience (129 citations) and Artificial Intelligence (180 citations). I‐Ting Wang has collaborated with scholars based in Taiwan, Singapore and United States. Frequent co-authors include Tuo‐Hung Hou, Yufen Wang, Chung-Wei Hsu, Chih-Cheng Chang, Shimeng Yu, Sarma B. K. Vrudhula, Jae-sun Seo, Pai-Yu Chen, Yu Kevin Cao and Tzu‐Ping Lin. Their work appears in journals such as IEEE Transactions on Electron Devices, Nanotechnology, IEEE Electron Device Letters, Scientific Reports and Nanophotonics.

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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