J.-H. Lin

801 total citations
12 papers, 510 citations indexed

About

J.-H. Lin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, J.-H. Lin has authored 12 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 4 papers in Signal Processing. Recurrent topics in J.-H. Lin's work include Image and Signal Denoising Methods (9 papers), Advanced Adaptive Filtering Techniques (5 papers) and Structural Health Monitoring Techniques (3 papers). J.-H. Lin is often cited by papers focused on Image and Signal Denoising Methods (9 papers), Advanced Adaptive Filtering Techniques (5 papers) and Structural Health Monitoring Techniques (3 papers). J.-H. Lin collaborates with scholars based in United States and Taiwan. J.-H. Lin's co-authors include Edward J. Coyle, Moncef Gabbouj, Thomas Sellke, Chang Lu, Nirwan Ansari and Yu‐Tzu Huang and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Acoustics Speech and Signal Processing and International Conference on Acoustics, Speech, and Signal Processing.

In The Last Decade

J.-H. Lin

7 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.-H. Lin United States	6	365	148	146	125	97	12	510
D. Androutsos Canada	16	560 1.5×	140 0.9×	44 0.3×	100 0.8×	225 2.3×	43	767
Praneeth Narayanamurthy United States	8	194 0.5×	90 0.6×	170 1.2×	62 0.5×	61 0.6×	24	400
A. Kundu United States	13	557 1.5×	124 0.8×	35 0.2×	195 1.6×	139 1.4×	43	765
Guangliang Chen United States	9	262 0.7×	41 0.3×	131 0.9×	125 1.0×	112 1.2×	26	400
Mark W. Koch United States	10	262 0.7×	70 0.5×	24 0.2×	209 1.7×	62 0.6×	34	535
Meizhu Liu United States	11	180 0.5×	91 0.6×	43 0.3×	188 1.5×	40 0.4×	21	488
Shuangyan Yi China	10	441 1.2×	70 0.5×	121 0.8×	142 1.1×	99 1.0×	20	569
Doron Mintz United States	6	359 1.0×	25 0.2×	40 0.3×	59 0.5×	80 0.8×	11	522
Goran Marjanovic Australia	9	96 0.3×	75 0.5×	184 1.3×	59 0.5×	17 0.2×	19	319
Venu Madhav Govindu India	14	770 2.1×	24 0.2×	252 1.7×	78 0.6×	52 0.5×	32	1.1k

Countries citing papers authored by J.-H. Lin

Since Specialization

Citations

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

Fields of papers citing papers by J.-H. Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-H. Lin. 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 J.-H. Lin. The network helps show where J.-H. Lin may publish in the future.

Co-authorship network of co-authors of J.-H. Lin

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

All Works

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12 of 12 papers shown

1.

Ansari, Nirwan, et al.. (2003). On generalized adaptive neural filters. 4. 277–282.

2.

Lin, J.-H. & Edward J. Coyle. (2003). Generalized stack filters and minimum mean absolute error estimation. 43. 2799–2802. 1 indexed citations

3.

Lin, J.-H. & Edward J. Coyle. (2003). Minimum mean absolute error nonlinear filtering. assp 31. 1439–1442.

4.

Lin, J.-H., et al.. (2002). Bit level systolic arrays for real time median filters. International Conference on Acoustics, Speech, and Signal Processing. 1. 1791–1794. 1 indexed citations

5.

Ansari, Nirwan, Yu‐Tzu Huang, & J.-H. Lin. (2002). Configuring stack filters by the LMS algorithm. 33. 570–579. 1 indexed citations

6.

Ansari, Nirwan, et al.. (1992). Adaptive stack filtering by LMS and perceptron learning. 33. 57–60 vol.4.

7.

Lu, Chang & J.-H. Lin. (1992). A bit-level systolic array for median filter. IEEE Transactions on Signal Processing. 40(8). 2079–2083. 24 indexed citations

8.

Coyle, Edward J., Moncef Gabbouj, & J.-H. Lin. (1991). From median filters to optimal stack filtering. 42. 9–12 vol.1. 5 indexed citations

9.

Lin, J.-H. & Edward J. Coyle. (1990). Minimum mean absolute error estimation over the class of generalized stack filters. IEEE Transactions on Acoustics Speech and Signal Processing. 38(4). 663–678. 59 indexed citations

10.

Lin, J.-H., Thomas Sellke, & Edward J. Coyle. (1990). Adaptive stack filtering under the mean absolute error criterion. IEEE Transactions on Acoustics Speech and Signal Processing. 38(6). 938–954. 97 indexed citations

11.

Coyle, Edward J., J.-H. Lin, & Moncef Gabbouj. (1989). Optimal stack filtering and the estimation and structural approaches to image processing. IEEE Transactions on Acoustics Speech and Signal Processing. 37(12). 2037–2066. 148 indexed citations

12.

Coyle, Edward J. & J.-H. Lin. (1988). Stack filters and the mean absolute error criterion. IEEE Transactions on Acoustics Speech and Signal Processing. 36(8). 1244–1254. 174 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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