Chong Bi

2.2k total citations
41 papers, 1.6k citations indexed

About

Chong Bi is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Chong Bi has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atomic and Molecular Physics, and Optics, 21 papers in Electrical and Electronic Engineering and 19 papers in Materials Chemistry. Recurrent topics in Chong Bi's work include Magnetic properties of thin films (22 papers), Magnetic and transport properties of perovskites and related materials (13 papers) and Advanced Memory and Neural Computing (11 papers). Chong Bi is often cited by papers focused on Magnetic properties of thin films (22 papers), Magnetic and transport properties of perovskites and related materials (13 papers) and Advanced Memory and Neural Computing (11 papers). Chong Bi collaborates with scholars based in China, United States and Taiwan. Chong Bi's co-authors include Qi Liu, Ming Liu, Hangbing Lv, Ty Newhouse-Illige, Shibing Long, Ling Li, Shan X. Wang, Fen Xue, Noriyuki Sato and Zongliang Huo and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nano Letters.

In The Last Decade

Chong Bi

40 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chong Bi China 19 1.0k 670 596 477 222 41 1.6k
Yu Nishitani Japan 16 818 0.8× 811 1.2× 467 0.8× 595 1.2× 235 1.1× 26 1.6k
Cécile Carrétéro France 12 816 0.8× 593 0.9× 217 0.4× 433 0.9× 152 0.7× 22 1.2k
André Chanthbouala France 8 1.3k 1.3× 764 1.1× 210 0.4× 380 0.8× 299 1.3× 10 1.7k
Sayani Majumdar Finland 23 1.1k 1.1× 668 1.0× 195 0.3× 674 1.4× 244 1.1× 73 1.9k
Guillaume Agnus France 17 927 0.9× 849 1.3× 454 0.8× 482 1.0× 112 0.5× 60 1.6k
Yanfei Zhao China 18 827 0.8× 918 1.4× 277 0.5× 171 0.4× 133 0.6× 35 1.5k
Chanyeol Choi United States 10 1.3k 1.3× 760 1.1× 257 0.4× 200 0.4× 426 1.9× 19 1.8k
Yunjo Kim United States 7 1.1k 1.0× 911 1.4× 148 0.2× 262 0.5× 311 1.4× 9 1.7k
Yoav Kalcheim United States 21 658 0.7× 426 0.6× 214 0.4× 438 0.9× 100 0.5× 46 1.2k
M.M. De Souza United Kingdom 22 1.6k 1.6× 834 1.2× 166 0.3× 220 0.5× 96 0.4× 141 1.9k

Countries citing papers authored by Chong Bi

Since Specialization
Citations

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

Fields of papers citing papers by Chong Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chong Bi. 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 Chong Bi. The network helps show where Chong Bi may publish in the future.

Co-authorship network of co-authors of Chong Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Chong Bi. A scholar is included among the top collaborators of Chong Bi 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 Chong Bi. Chong Bi 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.
Bi, Chong, Jiajia Chen, Yanrong Wang, & Feng Liu. (2024). Fuzzy credibility chance-constrained multi-objective optimization for multiple transactions of electricity–gas–carbon under uncertainty. Electric Power Systems Research. 238. 111089–111089. 6 indexed citations
2.
Wang, Jiawei, Yawei Lv, Nianduan Lu, et al.. (2024). Semimetallization induced Hall anomaly in doped polymers. Physical Review Research. 6(4).
3.
4.
Bi, Chong, et al.. (2022). Large Anomalous Unidirectional Magnetoresistance in a Single Ferromagnetic Layer. Physical Review Applied. 17(6). 14 indexed citations
5.
Li, Xiang, Peng Li, Vincent Hou, et al.. (2021). Large and robust charge-to-spin conversion in sputtered conductive WTe with disorder. Matter. 4(5). 1639–1653. 22 indexed citations
6.
Xue, Fen, Mahendra DC, Chong Bi, et al.. (2021). Tunable spin–orbit torque efficiency in in-plane and perpendicular magnetized [Pt/Co]n multilayer. Applied Physics Letters. 118(4). 6 indexed citations
7.
Xue, Fen, Mahendra DC, Chong Bi, et al.. (2021). Ultrahigh Spin-Orbit Torque Efficiency at Spin Reorientation Transition State in Pt/Co Multilayer. 10. 1–2. 1 indexed citations
8.
Li, Xiang, Peng Li, Vincent Hou, et al.. (2020). Large and Robust Charge-to-Spin Conversion in Sputtered Weyl Semimetal WTex with Structural Disorder. arXiv (Cornell University). 3 indexed citations
9.
Li, Xiang, Taisuke Sasaki, Cécile Grèzes, et al.. (2019). Predictive Materials Design of Magnetic Random-Access Memory Based on Nanoscale Atomic Structure and Element Distribution. Nano Letters. 19(12). 8621–8629. 31 indexed citations
10.
Sato, Noriyuki, Fen Xue, Robert M. White, Chong Bi, & Shan X. Wang. (2018). Two-terminal spin–orbit torque magnetoresistive random access memory. Nature Electronics. 1(9). 508–511. 161 indexed citations
11.
Li, Xiang, Ty Newhouse-Illige, Chong Bi, et al.. (2017). Perpendicular magnetic tunnel junction with W seed and capping layers. Journal of Applied Physics. 121(15). 27 indexed citations
12.
Newhouse-Illige, Ty, Yaohua Liu, Meng Xu, et al.. (2017). Voltage-controlled interlayer coupling in perpendicularly magnetized magnetic tunnel junctions. Nature Communications. 8(1). 15232–15232. 43 indexed citations
13.
Bi, Chong & Ming Liu. (2015). Reversal-mechanism of perpendicular switching induced by an in-plane current. Journal of Magnetism and Magnetic Materials. 381. 258–262. 6 indexed citations
14.
Bi, Chong, Yaohua Liu, Ty Newhouse-Illige, et al.. (2014). Reversible Control of Co Magnetism by Voltage-Induced Oxidation. Physical Review Letters. 113(26). 267202–267202. 260 indexed citations
15.
Wang, Ming, Chong Bi, Ling Li, et al.. (2014). Thermoelectric Seebeck effect in oxide-based resistive switching memory. Nature Communications. 5(1). 4598–4598. 103 indexed citations
16.
Sun, Haitao, Qi Liu, Shibing Long, et al.. (2014). Memory Switching: Direct Observation of Conversion Between Threshold Switching and Memory Switching Induced by Conductive Filament Morphology (Adv. Funct. Mater. 36/2014). Advanced Functional Materials. 24(36). 5772–5772. 5 indexed citations
17.
Guo, Zhengang, Liqing Pan, Chong Bi, et al.. (2012). Structural and multiferroic properties of Fe-doped Ba0.5Sr0.5TiO3 solids. Journal of Magnetism and Magnetic Materials. 325. 24–28. 50 indexed citations
18.
Li, Youxia, Mei Xu, Liqing Pan, et al.. (2010). Structural and room-temperature ferromagnetic properties of Fe-doped CuO nanocrystals. Journal of Applied Physics. 107(11). 52 indexed citations
19.
Bi, Chong, Zhengang Guo, Yuelei Zhao, et al.. (2010). Facile fabrication of wurtzite ZnS hollow nanospheres using polystyrene spheres as templates. Materials Letters. 64(15). 1681–1683. 18 indexed citations
20.
Bi, Chong, et al.. (2009). Synthesis and magnetic properties of Co-doped wurtzite ZnS nanocrystals. 874–877. 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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