Jae S. Lim

9.1k total citations · 2 hit papers
90 papers, 6.1k citations indexed

About

Jae S. Lim is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Jae S. Lim has authored 90 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 45 papers in Signal Processing and 19 papers in Computational Mechanics. Recurrent topics in Jae S. Lim's work include Advanced Data Compression Techniques (28 papers), Image and Signal Denoising Methods (27 papers) and Speech and Audio Processing (21 papers). Jae S. Lim is often cited by papers focused on Advanced Data Compression Techniques (28 papers), Image and Signal Denoising Methods (27 papers) and Speech and Audio Processing (21 papers). Jae S. Lim collaborates with scholars based in United States. Jae S. Lim's co-authors include Daniel W. Griffin, Alan V. Oppenheim, Dongqi Wang, Thomas F. Quatieri, S. Hamid Nawab, Tamar Peli, Elliot Singer, M.H. Hayes, Louis D. Braida and A. Oppenheim and has published in prestigious journals such as IEEE Transactions on Image Processing, The Journal of the Acoustical Society of America and Scientific American.

In The Last Decade

Jae S. Lim

83 papers receiving 5.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Two-Dimensional Signal and Image Processing

1989 1.8k citations Jae S. Lim Medical Entomology and Zoology profile →
Signal estimation from modified short-time Fourier transform

1984 1.3k citations Daniel W. Griffin, Jae S. Lim IEEE Transactions on Acoustics Speech and Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jae S. Lim United States	25	3.0k	2.5k	1.4k	1.2k	522	90	6.1k
Jelena Kovačević United States	38	2.3k 0.8×	4.4k 1.7×	1.2k 0.8×	2.2k 1.8×	851 1.6×	153	8.6k
Petros Maragos Greece	42	1.9k 0.6×	3.4k 1.3×	612 0.4×	1.5k 1.2×	422 0.8×	301	7.2k
C.S. Burrus United States	39	3.5k 1.2×	3.0k 1.2×	1.4k 1.0×	744 0.6×	684 1.3×	184	8.0k
Rémi Gribonval France	40	4.5k 1.5×	2.2k 0.9×	3.9k 2.8×	1.8k 1.5×	283 0.5×	168	8.5k
K.R. Rao United States	36	5.0k 1.6×	6.4k 2.5×	787 0.6×	927 0.7×	656 1.3×	286	10.1k
T.W. Parks United States	40	3.5k 1.2×	3.0k 1.2×	2.0k 1.4×	570 0.5×	653 1.3×	127	7.1k
Y. Neuvo Finland	31	2.0k 0.7×	3.7k 1.4×	1.2k 0.9×	594 0.5×	1.4k 2.6×	215	5.8k
Michael Zibulevsky Israel	28	1.7k 0.6×	1.6k 0.6×	1.7k 1.2×	386 0.3×	518 1.0×	89	4.3k
M.H. Hayes United States	28	1.1k 0.4×	2.5k 1.0×	553 0.4×	631 0.5×	486 0.9×	154	5.0k
Akram Aldroubi United States	39	1.7k 0.5×	4.5k 1.8×	1.7k 1.2×	366 0.3×	712 1.4×	134	9.8k

Countries citing papers authored by Jae S. Lim

Since Specialization

Citations

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

Fields of papers citing papers by Jae S. Lim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae S. Lim. 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 Jae S. Lim. The network helps show where Jae S. Lim may publish in the future.

Co-authorship network of co-authors of Jae S. Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Jae S. Lim. A scholar is included among the top collaborators of Jae S. Lim 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 Jae S. Lim. Jae S. Lim 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

1.

Cai, Xun & Jae S. Lim. (2015). Adaptive residual DPCM for lossless intra coding. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9410. 94100A–94100A. 3 indexed citations

2.

Lim, Jae S., et al.. (2012). Analysis of one-dimensional transforms in coding motion compensation prediction residuals for video applications. DSpace@MIT (Massachusetts Institute of Technology). 1229–1232. 8 indexed citations

3.

Lim, Jae S., et al.. (2010). 1-D Transforms for the Motion Compensation Residual. IEEE Transactions on Image Processing. 20(4). 1036–1046. 17 indexed citations

4.

Griffin, Daniel W. & Jae S. Lim. (2005). A high quality 9.6 kbps speech coding system. 11. 125–128. 1 indexed citations

5.

Lim, Jae S., et al.. (2005). Effects of noise on signal reconstruction from Fourier transform phase. 7. 1833–1836. 1 indexed citations

6.

Lim, Jae S., et al.. (2005). Implicit motion compensated noise reduction of motion video scenes. 10. 375–378. 5 indexed citations

7.

Lim, Jae S.. (2005). Speech enhancement. 11. 3135–3142. 1 indexed citations

8.

Quatieri, Thomas F., et al.. (2005). Signal reconstruction from the short-time Fourier transform magnitude. 7. 1046–1048. 7 indexed citations

9.

Oppenheim, Alan V., et al.. (2005). Reconstruction of two-dimensional signals from threshold crossings. 10. 1057–1060. 2 indexed citations

10.

Lim, Jae S.. (1989). Two-Dimensional Signal and Image Processing. Medical Entomology and Zoology. 1823 indexed citations breakdown →

11.

Griffin, Daniel W. & Jae S. Lim. (1988). Multiband excitation vocoder. IEEE Transactions on Acoustics Speech and Signal Processing. 36(8). 1223–1235. 323 indexed citations

12.

Lim, Jae S.. (1987). Two-dimensional signal processing. Prentice-Hall, Inc eBooks. 338–415. 13 indexed citations

13.

Lim, Jae S.. (1986). Speech enhancement. International Conference on Acoustics, Speech, and Signal Processing. 52 indexed citations

14.

Griffin, Daniel W. & Jae S. Lim. (1984). Signal Estimation from Modified Short-Time. 2 indexed citations

15.

Griffin, Daniel W. & Jae S. Lim. (1984). Signal estimation from modified short-time Fourier transform. IEEE Transactions on Acoustics Speech and Signal Processing. 32(2). 236–243. 1328 indexed citations breakdown →

16.

Lim, Jae S., et al.. (1983). Signal Reconstruction From Fourier Transform Amplitude*. ThA15–ThA15. 3 indexed citations

17.

Lim, Jae S.. (1980). Reduction Of Quantization Noise In Pulse Code Modulation Image Coding. Optical Engineering. 19(4). 2 indexed citations

18.

Lim, Jae S.. (1980). Image restoration by short space spectral subtraction. IEEE Transactions on Acoustics Speech and Signal Processing. 28(2). 191–197. 47 indexed citations

19.

Oppenheim, Alan V., M.H. Hayes, & Jae S. Lim. (1980). <title>Iterative Procedures For Signal Reconstruction From Phase</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 231. 121–129. 23 indexed citations

20.

Lim, Jae S., A. Oppenheim, & Louis D. Braida. (1978). Evaluation of an adaptive comb filtering method for enhancing speech degraded by white noise addition. IEEE Transactions on Acoustics Speech and Signal Processing. 26(4). 354–358. 91 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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