I‐Ting Wang

1.6k total citations
44 papers, 1.3k citations indexed

About

I‐Ting Wang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, I‐Ting Wang has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 12 papers in Cellular and Molecular Neuroscience and 7 papers in Materials Chemistry. Recurrent topics in I‐Ting Wang's work include Advanced Memory and Neural Computing (28 papers), Ferroelectric and Negative Capacitance Devices (28 papers) and Semiconductor materials and devices (15 papers). I‐Ting Wang is often cited by papers focused on Advanced Memory and Neural Computing (28 papers), Ferroelectric and Negative Capacitance Devices (28 papers) and Semiconductor materials and devices (15 papers). I‐Ting Wang collaborates with scholars based in Taiwan, Singapore and United States. I‐Ting Wang's co-authors include Tuo‐Hung Hou, Yufen Wang, Chung-Wei Hsu, Chih-Cheng Chang, Shimeng Yu, Sarma Vrudhula, Pai-Yu Chen, Jae-sun Seo, Yu Cao and Chun‐Li Lo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Advanced Functional Materials.

In The Last Decade

I‐Ting Wang

41 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
I‐Ting Wang Taiwan 17 1.2k 497 172 160 156 44 1.3k
Yimao Cai China 20 1.1k 0.9× 359 0.7× 160 0.9× 171 1.1× 154 1.0× 109 1.2k
Alessandro Fumarola Switzerland 10 1.0k 0.8× 328 0.7× 145 0.8× 226 1.4× 158 1.0× 11 1.1k
Alessandro Bricalli Italy 17 1.3k 1.1× 519 1.0× 201 1.2× 178 1.1× 192 1.2× 32 1.4k
Ligang Gao United States 16 1.1k 0.9× 420 0.8× 162 0.9× 144 0.9× 121 0.8× 33 1.1k
Zhong Sun China 18 1.2k 0.9× 404 0.8× 166 1.0× 242 1.5× 196 1.3× 48 1.4k
Nirmal Ramaswamy United States 22 1.6k 1.3× 586 1.2× 194 1.1× 173 1.1× 188 1.2× 38 1.7k
Jiaming Zhang China 6 1.2k 1.0× 518 1.0× 133 0.8× 207 1.3× 102 0.7× 23 1.3k
Spyros Stathopoulos United Kingdom 14 863 0.7× 392 0.8× 120 0.7× 81 0.5× 107 0.7× 59 946
S. G. Hu China 15 779 0.6× 363 0.7× 133 0.8× 206 1.3× 70 0.4× 34 890
B. DeSalvo France 16 1.1k 0.9× 353 0.7× 108 0.6× 142 0.9× 211 1.4× 34 1.1k

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-authorship network of co-authors of I‐Ting Wang

This figure shows the co-authorship network connecting the top 25 collaborators of I‐Ting Wang. A scholar is included among the top collaborators of I‐Ting Wang 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 I‐Ting Wang. I‐Ting Wang 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
1.
Chen, Yuhao, et al.. (2023). Guideline of Device Optimization for Ferroelectric InGaZnO Transistor. 1–3. 1 indexed citations
2.
Wang, I‐Ting, Yu‐Sheng Chen, Yu-De Lin, et al.. (2023). Wake-Up of Ultrathin Ferroelectric Hf0.5Zr0.5O2: The Origin and Physical Modeling. 1–4. 3 indexed citations
3.
Wang, I‐Ting, et al.. (2023). Two-Transistor Metal–Ferroelectric–Metal Field-Effect Transistor (2T-MFMFET) for Scalable Embedded Nonvolatile Memory—Part II: Experiment. IEEE Transactions on Electron Devices. 70(12). 6268–6272. 1 indexed citations
4.
Chang, Chih-Cheng, et al.. (2022). Device quantization policy in variation-aware in-memory computing design. Scientific Reports. 12(1). 112–112. 8 indexed citations
5.
Wang, I‐Ting, et al.. (2022). Two-dimensional materials for artificial synapses: toward a practical application. Neuromorphic Computing and Engineering. 2(1). 12003–12003. 10 indexed citations
6.
Wang, I‐Ting, et al.. (2022). Voltage–Time Transformation Model for Threshold Switching Spiking Neuron Based on Nucleation Theory. Frontiers in Neuroscience. 16. 868671–868671.
7.
Wang, I‐Ting, et al.. (2022). Giant Photoresponsivity and External Quantum Efficiency in a Contact‐Engineered Broadband a‐IGZO Phototransistor. Advanced Functional Materials. 32(24). 27 indexed citations
8.
Wang, I‐Ting, et al.. (2021). Progress and Benchmark of Spiking Neuron Devices and Circuits. SHILAP Revista de lepidopterología. 3(8). 45 indexed citations
9.
Wang, Weijie, Wen‐Dong Song, I‐Ting Wang, et al.. (2020). Endurance and Variability Control for Analog Switching in Dual Oxide Layer RRAM Devices. 115. 1–4. 2 indexed citations
10.
Chui, King Jien, et al.. (2019). High Aspect Ratio (>10:1) Via-Middle TSV with High-k Dielectric Liner Oxide. 4 indexed citations
11.
Chang, Chih-Cheng, Jen‐Chieh Liu, I‐Ting Wang, et al.. (2017). Challenges and opportunities toward online training acceleration using RRAM-based hardware neural network. 11.6.1–11.6.4. 29 indexed citations
12.
Wang, I‐Ting, et al.. (2016). 3D Ta/TaOx/TiO2/Ti synaptic array and linearity tuning of weight update for hardware neural network applications. Nanotechnology. 27(36). 365204–365204. 165 indexed citations
13.
Wang, Yufen, et al.. (2015). Characterization and Modeling of Nonfilamentary Ta/TaOx/TiO2/Ti Analog Synaptic Device. Scientific Reports. 5(1). 10150–10150. 160 indexed citations
14.
Chen, Pai-Yu, Binbin Lin, I‐Ting Wang, et al.. (2015). Mitigating effects of non-ideal synaptic device characteristics for on-chip learning. 194–199. 175 indexed citations
15.
Wang, I‐Ting, et al.. (2014). 3D synaptic architecture with ultralow sub-10 fJ energy per spike for neuromorphic computation. 28.5.1–28.5.4. 80 indexed citations
16.
Hsu, Chung-Wei, I‐Ting Wang, Chun‐Li Lo, et al.. (2013). Self-rectifying bipolar TaO x /TiO 2 RRAM with superior endurance over 10 12 cycles for 3D high-density storage-class memory. Symposium on VLSI Technology. 6576643. 85 indexed citations
17.
Wu, Shih-Chieh, et al.. (2013). Flexible Three-Bit-Per-Cell Resistive Switching Memory Using a-IGZO TFTs. IEEE Electron Device Letters. 34(10). 1265–1267. 16 indexed citations
18.
Hsu, Chung-Wei, I‐Ting Wang, Mei‐Chin Chen, et al.. (2013). 3D vertical TaO<inf>x</inf>/TiO<inf>2</inf> RRAM with over 10<sup>3</sup> self-rectifying ratio and sub-&#x03BC;A operating current. 10.4.1–10.4.4. 21 indexed citations
19.
Wu, Shih-Chieh, et al.. (2012). Multi-bit-per-Cell a-IGZO TFT resistive-switching memory for system-on-plastic applications. 5.3.1–5.3.4. 4 indexed citations
20.
Wang, I‐Ting, et al.. (2005). THE EFFECT OF TENNIS RACKET STRING VIBRATION ABSORBER PLACEMENT ON TENNIS RACKET VIBRATIONS. ISBS - Conference Proceedings Archive. 1(1).

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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