Nam-Joon Kim

549 total citations
32 papers, 413 citations indexed

About

Nam-Joon Kim is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Nam-Joon Kim has authored 32 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Nam-Joon Kim's work include Construction Project Management and Performance (4 papers), BIM and Construction Integration (3 papers) and Video Coding and Compression Technologies (3 papers). Nam-Joon Kim is often cited by papers focused on Construction Project Management and Performance (4 papers), BIM and Construction Integration (3 papers) and Video Coding and Compression Technologies (3 papers). Nam-Joon Kim collaborates with scholars based in South Korea, United States and Türkiye. Nam-Joon Kim's co-authors include Seunho Jung, Maureen O. Ripple, Young‐Jin Choi, Roger Springett, Sunghyun Kim, Hee-Sung Moon, Dong-Seok Hyun, Hyuk‐Jae Lee, Sarp Ertürk and Dong-Myung Lee and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Chemistry and IEEE Transactions on Industry Applications.

In The Last Decade

Nam-Joon Kim

25 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nam-Joon Kim South Korea	11	152	84	79	68	59	32	413
Boeun Kim South Korea	15	177 1.2×	124 1.5×	13 0.2×	158 2.3×	65 1.1×	50	804
Yangyang Liu China	13	77 0.5×	159 1.9×	12 0.2×	26 0.4×	52 0.9×	70	571
Yuan Zhi China	11	114 0.8×	49 0.6×	13 0.2×	19 0.3×	27 0.5×	40	379
Qianqian Meng China	14	291 1.9×	45 0.5×	7 0.1×	50 0.7×	44 0.7×	31	514
Xueyi Liu China	10	116 0.8×	27 0.3×	13 0.2×	12 0.2×	45 0.8×	19	431
Dayu Wang China	12	101 0.7×	105 1.3×	7 0.1×	51 0.8×	28 0.5×	62	516
Mehran Amiri United States	12	65 0.4×	25 0.3×	12 0.2×	15 0.2×	12 0.2×	32	503
Pan Duan China	17	424 2.8×	19 0.2×	9 0.1×	117 1.7×	46 0.8×	47	782
Waqas Khan Pakistan	8	308 2.0×	14 0.2×	58 0.7×	19 0.3×	14 0.2×	23	555

Countries citing papers authored by Nam-Joon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Nam-Joon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nam-Joon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Nam-Joon Kim. A scholar is included among the top collaborators of Nam-Joon 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 Nam-Joon Kim. Nam-Joon Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kim, Nam-Joon, et al.. (2025). MathReader : Text-to-Speech for Mathematical Documents. 1–5. 1 indexed citations

Kwon, Jimin, et al.. (2025). Analysis of Transformer Decoder Architecture and KV Cache Behavior During LLM Inference. 1–4.

Kim, Nam-Joon, et al.. (2025). TeXBLEU: Automatic Metric for Evaluate LaTeX Format. 1–5. 1 indexed citations

Kim, Nam-Joon, et al.. (2025). MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula. Proceedings of the AAAI Conference on Artificial Intelligence. 39(23). 24194–24202. 2 indexed citations

Kim, Chul Min, Hyunsoo Yoon, Jong-Soo Kim, & Nam-Joon Kim. (2024). Highly Reliable Short-Circuit Protection Circuits for Gallium Nitride High-Electron-Mobility Transistors. Electronics. 13(7). 1203–1203. 1 indexed citations

Kim, Nam-Joon, et al.. (2024). Enhancing ASR Performance through Relative Word Frequency in OCR and Normal Word Frequency Analysis. 71–74.

Kim, Nam-Joon, et al.. (2024). Survey of convolutional neural network accelerators on field-programmable gate array platforms: architectures and optimization techniques. Journal of Real-Time Image Processing. 21(3). 14 indexed citations

Shah, Priyank N., et al.. (2020). Green Bisphenol A: A High Valued Building Block Isolated from Lignin Biowaste. Waste and Biomass Valorization. 12(2). 985–994. 1 indexed citations

Kim, Hyunbin, et al.. (2017). A Study on the Efficiency Prediction of Low-Voltage and High-Current dc-dc Converters Using GaN FET-based Synchronous Rectifier. The Transactions of the Korean Institute of Power Electronics. 22(4). 297–304. 1 indexed citations

10.

Shah, Priyank N., Nam-Joon Kim, Zhuangrong Huang, et al.. (2015). Environmentally benign synthesis of vinyl ester resin from biowaste glycerin. RSC Advances. 5(48). 38673–38679. 28 indexed citations

11.

Cho, Min Soo, Gi‐Byoung Nam, Ki Won Hwang, et al.. (2014). Electrocardiographic predictors of bradycardia-induced torsades de pointes in patients with acquired atrioventricular block. Heart Rhythm. 12(3). 498–505. 17 indexed citations

12.

Jung, Youngsoo, et al.. (2014). Growth Model for Korean CM Firms based on 2012 Statistics. Korean Journal of Construction Engineering and Management. 15(6). 92–104. 1 indexed citations

13.

Kim, Nam-Joon, et al.. (2014). The Group Latent Variable Approach to Probit Binary Classifications. IEEE Transactions on Neural Networks and Learning Systems. 25(7). 1277–1286.

14.

Ripple, Maureen O., Nam-Joon Kim, & Roger Springett. (2013). Mammalian Complex I Pumps 4 Protons per 2 Electrons at High and Physiological Proton Motive Force in Living Cells*. Journal of Biological Chemistry. 288(8). 5374–5380. 51 indexed citations

15.

Ripple, Maureen O., Nam-Joon Kim, & Roger Springett. (2012). Acute Mitochondrial Inhibition by Mitogen-activated Protein Kinase/Extracellular Signal-regulated Kinase Kinase (MEK) 1/2 Inhibitors Regulates Proliferation. Journal of Biological Chemistry. 288(5). 2933–2940. 21 indexed citations

16.

Kim, Nam-Joon, Sarp Ertürk, & Hyuk‐Jae Lee. (2009). Two-bit transform based block motion estimation using second derivatives. IEEE Transactions on Consumer Electronics. 55(2). 902–910. 20 indexed citations

17.

Kim, Nam-Joon, Hyuk‐Jae Lee, & Jaebeom Lee. (2008). Probabilistic Global Motion Estimation Based on Laplacian Two-Bit Plane Matching for Fast Digital Image Stabilization. EURASIP Journal on Advances in Signal Processing. 2008(1). 10 indexed citations

18.

Kim, Nam-Joon, et al.. (2007). BINARY INTEGER MOTION ESTIMATION AND SAD-MERGE BASED FRACTIONAL MOTION ESTIMATION FOR H.264/AVC. 대한전자공학회 ISOCC. 415–418. 1 indexed citations

19.

Kim, Nam-Joon & Dong-Seok Hyun. (2002). Very low speed control of induction machine by instantaneous speed and inertia estimation. 1. 605–610. 2 indexed citations

20.

Kim, Nam-Joon, Young‐Jin Choi, Seunho Jung, & Sunghyun Kim. (2000). Effect of initial carbon sources on the performance of microbial fuel cells containingProteus vulgaris. Biotechnology and Bioengineering. 70(1). 109–114. 94 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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