Jin‐Ping Han

2.3k total citations · 1 hit paper
38 papers, 1.7k citations indexed

About

Jin‐Ping Han is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Jin‐Ping Han has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 18 papers in Materials Chemistry and 8 papers in Biomedical Engineering. Recurrent topics in Jin‐Ping Han's work include Semiconductor materials and devices (17 papers), Ferroelectric and Piezoelectric Materials (14 papers) and Advancements in Semiconductor Devices and Circuit Design (10 papers). Jin‐Ping Han is often cited by papers focused on Semiconductor materials and devices (17 papers), Ferroelectric and Piezoelectric Materials (14 papers) and Advancements in Semiconductor Devices and Circuit Design (10 papers). Jin‐Ping Han collaborates with scholars based in United States, Japan and Switzerland. Jin‐Ping Han's co-authors include T.P. Ma, T. P., Weihang Zhu, Jason Hoffman, James W. Reiner, Charles Ahn, Xiaoqing Pan, F. J. Walker, Eric M. Vogel and Curt A. Richter and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Jin‐Ping Han

35 papers receiving 1.6k citations

Hit Papers

Why is nonvolatile ferroelectric memory field-effect tran... 2002 2026 2010 2018 2002 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin‐Ping Han United States 16 1.4k 887 345 172 87 38 1.7k
Hagyoul Bae South Korea 24 1.3k 0.9× 568 0.6× 308 0.9× 167 1.0× 135 1.6× 104 1.6k
Jesse Tice United States 19 757 0.5× 604 0.7× 143 0.4× 167 1.0× 119 1.4× 43 1.2k
Desmond K. Loke Singapore 17 1.1k 0.8× 1.0k 1.2× 358 1.0× 260 1.5× 126 1.4× 49 1.4k
Connor J. McClellan United States 17 1.1k 0.8× 1.7k 1.9× 342 1.0× 106 0.6× 53 0.6× 33 2.1k
Aday J. Molina‐Mendoza Austria 14 1.3k 1.0× 1.3k 1.5× 303 0.9× 181 1.1× 205 2.4× 19 2.1k
Xianhua Wei China 17 675 0.5× 635 0.7× 213 0.6× 195 1.1× 143 1.6× 45 959
Daewoong Kwon South Korea 21 1.4k 1.0× 702 0.8× 174 0.5× 121 0.7× 62 0.7× 69 1.5k
Gaokuo Zhong China 19 566 0.4× 594 0.7× 268 0.8× 370 2.2× 123 1.4× 58 1.0k
Eilam Yalon Israel 23 1.2k 0.8× 1.3k 1.5× 220 0.6× 94 0.5× 134 1.5× 81 1.9k

Countries citing papers authored by Jin‐Ping Han

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Ping Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Ping Han. 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 Jin‐Ping Han. The network helps show where Jin‐Ping Han may publish in the future.

Co-authorship network of co-authors of Jin‐Ping Han

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Ping Han. A scholar is included among the top collaborators of Jin‐Ping Han 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 Jin‐Ping Han. Jin‐Ping Han 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.
Li, Ning, Charles Mackin, An Chen, et al.. (2023). Optimization of Projected Phase Change Memory for Analog In‐Memory Computing Inference. Advanced Electronic Materials. 9(6). 5 indexed citations
2.
Chandrasekaran, Sriram, Nicole Danos, Uduak Z. George, et al.. (2021). The Axes of Life: A Roadmap for Understanding Dynamic Multiscale Systems. Integrative and Comparative Biology. 61(6). 2011–2019. 4 indexed citations
3.
Müller, Rolf, Jin‐Ping Han, Sriram Chandrasekaran, & Paul Bogdan. (2021). Deep Learning for Reintegrating Biology. Integrative and Comparative Biology. 61(6). 2276–2281. 1 indexed citations
4.
Han, Jin‐Ping, Malte J. Rasch, P. M. Solomon, et al.. (2020). Impact of PCM Flicker Noise and Weight Drift on Analog Hardware Inference for state-of-the-art Deep Learning Networks. 1 indexed citations
5.
Bruce, Robert L., Takeshi Masuda, Nanbo Gong, et al.. (2019). Confined PCM-based Analog Synaptic Devices offering Low Resistance-drift and 1000 Programmable States for Deep Learning. T66–T67. 55 indexed citations
6.
Mao, Wujian, Yanmin Jia, Jiang Wu, et al.. (2016). Optical temperature sensing of piezoelectric Er3+-doped (Ba0.97Ca0.03)(Sn0.06Ti0.94)O3 ceramic. Functional Materials Letters. 9(5). 1650060–1650060. 6 indexed citations
7.
Yuan, Xiaobin, Takashi Shimizu, Jeffrey S. Brown, et al.. (2011). Transistor Mismatch Properties in Deep-Submicrometer CMOS Technologies. IEEE Transactions on Electron Devices. 58(2). 335–342. 36 indexed citations
8.
Hoffman, Jason, Xiaoqing Pan, James W. Reiner, et al.. (2010). Ferroelectric Field Effect Transistors for Memory Applications. Advanced Materials. 22(26-27). 2957–2961. 261 indexed citations
9.
Hook, Terence B., et al.. (2010). Channel Length and Threshold Voltage Dependence of Transistor Mismatch in a 32-nm HKMG Technology. IEEE Transactions on Electron Devices. 57(10). 2440–2447. 13 indexed citations
10.
Brown, Jeffrey S., D. Tekleab, C.M. Olsen, et al.. (2010). Transistor mismatch in 32 nm high-k metal-gate process. Electronics Letters. 46(10). 708–709. 1 indexed citations
11.
Han, Jin‐Ping, Eric M. Vogel, E. P. Gusev, et al.. (2004). Energy distribution of interface traps in high-k gated MOSFETs. 451. 161–162. 15 indexed citations
12.
Koo, Sang-Mo, Akira Fujiwara, Jin‐Ping Han, et al.. (2004). High Inversion Current in Silicon Nanowire Field Effect Transistors. Nano Letters. 4(11). 2197–2201. 67 indexed citations
13.
Han, Jin‐Ping, Eric M. Vogel, Evgeni Gusev, et al.. (2003). Energy Distribution of Interface Traps in High-K Gated MOSFETs. 10 indexed citations
14.
Han, Jin‐Ping. (2002). Ferroelectric bismuth-layered SBT and metal/ferroelectric/insulator/silicon transistor for memory applications. PhDT.
15.
Kim, Kwang Ho, Jin‐Ping Han, Soon‐Won Jung, & Tso‐Ping Ma. (2002). Ferroelectric DRAM (FEDRAM) FET with metal/SrBi 2 Ta 2 O/sub 9//SiN/Si gate structure. IEEE Electron Device Letters. 23(2). 82–84. 50 indexed citations
16.
She, Min, Tsu‐Jae King, Chenming Hu, et al.. (2002). Low-voltage, fast-programming P-channel flash memory with JVD tunneling nitride. 641–644. 2 indexed citations
17.
Han, Jin‐Ping & T. P.. (1999). Ferroelectric-gate transistor as a capacitor-less DRAM cell (FEDRAM). Integrated ferroelectrics. 27(1-4). 9–18. 25 indexed citations
18.
Han, Jin‐Ping, et al.. (1998). SrBi 2 Ta 2 O 9 memory capacitor on Si with a silicon nitride buffer. Applied Physics Letters. 72(10). 1185–1186. 83 indexed citations
19.
Han, Jin‐Ping, Jun Gu, & T. P.. (1997). SrBi2Ta2O9(SBT) thin films prepared by electrostatic spray. Integrated ferroelectrics. 14(1-4). 229–235. 5 indexed citations
20.
Han, Jin‐Ping, et al.. (1997). Top electrode dependence of forming gas annealing effects on ferroelectric films. Integrated ferroelectrics. 17(1-4). 471–478. 6 indexed citations

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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