Bongjin Kim

2.9k total citations
98 papers, 2.2k citations indexed

About

Bongjin Kim is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Bongjin Kim has authored 98 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Electrical and Electronic Engineering, 25 papers in Artificial Intelligence and 17 papers in Computer Networks and Communications. Recurrent topics in Bongjin Kim's work include Advanced Memory and Neural Computing (37 papers), Ferroelectric and Negative Capacitance Devices (26 papers) and Quantum Computing Algorithms and Architecture (15 papers). Bongjin Kim is often cited by papers focused on Advanced Memory and Neural Computing (37 papers), Ferroelectric and Negative Capacitance Devices (26 papers) and Quantum Computing Algorithms and Architecture (15 papers). Bongjin Kim collaborates with scholars based in United States, Singapore and South Korea. Bongjin Kim's co-authors include Tony Tae-Hyoung Kim, Hyunjoon Kim, John E. Prescott, Taegeun Yoo, Chengshuo Yu, Yoon‐Soo Park, C. J. Youn, Yungryel Ryu, H. W. White and Tae-Seok Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Academy of Management Review and Applied Physics Letters.

In The Last Decade

Bongjin Kim

90 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bongjin Kim United States 23 1.3k 475 313 309 270 98 2.2k
Masanori Hashimoto Japan 24 1.8k 1.4× 247 0.5× 33 0.1× 138 0.4× 47 0.2× 351 2.6k
Ross Schaller United States 6 768 0.6× 201 0.4× 6 0.0× 155 0.5× 66 0.2× 12 2.0k
Peter Wilson United Kingdom 22 963 0.7× 50 0.1× 19 0.1× 143 0.5× 301 1.1× 166 2.0k
Guiling Wang China 24 778 0.6× 322 0.7× 121 0.4× 97 0.3× 901 3.3× 114 2.6k
Les Johnson United States 24 263 0.2× 64 0.1× 49 0.2× 33 0.1× 31 0.1× 135 2.0k
Young Kwark United States 30 2.6k 2.0× 192 0.4× 7 0.0× 68 0.2× 33 0.1× 130 3.5k
Wenzhong Zhu China 15 265 0.2× 33 0.1× 18 0.1× 48 0.2× 81 0.3× 66 815
Changkyu Choi South Korea 15 401 0.3× 58 0.1× 48 0.2× 180 0.6× 18 0.1× 67 1.6k
Yi Li China 40 4.8k 3.8× 1.0k 2.2× 6 0.0× 668 2.2× 177 0.7× 242 5.5k

Countries citing papers authored by Bongjin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Bongjin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bongjin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Bongjin Kim. A scholar is included among the top collaborators of Bongjin Kim 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 Bongjin Kim. Bongjin Kim 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
2.
Kim, Tony Tae-Hyoung, et al.. (2024). FlexSpin: A CMOS Ising Machine With 256 Flexible Spin Processing Elements With 8-b Coefficients for Solving Combinatorial Optimization Problems. IEEE Journal of Solid-State Circuits. 59(8). 2659–2670. 4 indexed citations
3.
Kim, Hyunjoon, et al.. (2023). A 1-16b Reconfigurable 80Kb 7T SRAM-Based Digital Near-Memory Computing Macro for Processing Neural Networks. IEEE Transactions on Circuits and Systems I Regular Papers. 70(4). 1580–1590. 21 indexed citations
4.
Koo, Jahyun, et al.. (2023). CTLE-Ising: A Continuous-Time Latch-Based Ising Machine Featuring One-Shot Fully Parallel Spin Updates and Equalization of Spin States. IEEE Journal of Solid-State Circuits. 59(1). 173–183. 4 indexed citations
5.
Yu, Chengshuo, et al.. (2023). A Time-Domain Wavefront Computing Accelerator With a 32 × 32 Reconfigurable PE Array. IEEE Journal of Solid-State Circuits. 58(8). 2372–2382.
6.
Zheng, Yuanjin, et al.. (2023). A Graph-Based Accelerator of Retinex Model with Bit-Serial Computing for Image Processing. 1–5. 1 indexed citations
7.
Kim, Hyunjoon, et al.. (2022). SRAM-Based In-Memory Computing Macro Featuring Voltage-Mode Accumulator and Row-by-Row ADC for Processing Neural Networks. IEEE Transactions on Circuits and Systems I Regular Papers. 69(6). 2412–2422. 25 indexed citations
8.
Tu, Fengbin, Yiqi Wang, Zihan Wu, et al.. (2022). ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration. IEEE Journal of Solid-State Circuits. 58(1). 243–255. 34 indexed citations
9.
Kim, Hyunjoon, et al.. (2022). CIM-Spin: A Scalable CMOS Annealing Processor With Digital In-Memory Spin Operators and Register Spins for Combinatorial Optimization Problems. IEEE Journal of Solid-State Circuits. 57(7). 2263–2273. 20 indexed citations
10.
Kim, Hyunjoon, et al.. (2022). A Scalable CMOS Ising Computer Featuring Sparse and Reconfigurable Spin Interconnects for Solving Combinatorial Optimization Problems. IEEE Journal of Solid-State Circuits. 57(3). 858–868. 23 indexed citations
11.
Kim, Hyunjoon, Taegeun Yoo, Tony Tae-Hyoung Kim, & Bongjin Kim. (2021). Colonnade: A Reconfigurable SRAM-Based Digital Bit-Serial Compute-In-Memory Macro for Processing Neural Networks. IEEE Journal of Solid-State Circuits. 56(7). 2221–2233. 116 indexed citations
12.
Lu, Lu, et al.. (2021). A Reconfigurable 4T2R ReRAM Computing In-Memory Macro for Efficient Edge Applications. SHILAP Revista de lepidopterología. 2. 210–222. 22 indexed citations
13.
14.
Lu, Lu, et al.. (2020). Reconfigurable 2T2R ReRAM Architecture for Versatile Data Storage and Computing In-Memory. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28(12). 2636–2649. 30 indexed citations
15.
Chen, Qian, Yuan Liang, Bongjin Kim, & Chirn Chye Boon. (2020). A 3GS/s Highly Linear Energy Efficient Constant-Slope Based Voltage-to-Time Converter. DR-NTU (Nanyang Technological University). 1–5. 11 indexed citations
17.
Kim, Hyunjoon, Qian Chen, Taegeun Yoo, Tony Tae-Hyoung Kim, & Bongjin Kim. (2019). A 1-16b Precision Reconfigurable Digital In-Memory Computing Macro Featuring Column-MAC Architecture and Bit-Serial Computation. 345–348. 45 indexed citations
18.
Kim, Bongjin. (2012). THE PARADOX OF BOARD STRUCTURE CHANGE. 15(2). 23–57.
19.
Kim, Bongjin, Hyungjun Kim, Tae‐Sik Yoon, Yong‐Sang Kim, & Hyun Ho Lee. (2010). Effects on Annealing Temperature for Solution-Processed IZTO TFTs by Nitrogen Incorporation. Electrochemical and Solid-State Letters. 13(12). H419–H419. 18 indexed citations
20.
Al-Shammari, Hussam, et al.. (2008). CEO duality leadership and corporate diversification behavior. Journal of Business Research. 62(11). 1173–1180. 152 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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