H. Park

1.1k total citations
12 papers, 764 citations indexed

About

H. Park is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, H. Park has authored 12 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Theory and Mathematics and 2 papers in Signal Processing. Recurrent topics in H. Park's work include Face and Expression Recognition (5 papers), Matrix Theory and Algorithms (4 papers) and Statistical and numerical algorithms (2 papers). H. Park is often cited by papers focused on Face and Expression Recognition (5 papers), Matrix Theory and Algorithms (4 papers) and Statistical and numerical algorithms (2 papers). H. Park collaborates with scholars based in United States, Sweden and South Korea. H. Park's co-authors include Peg Howland, Ravi Janardan, Jieping Ye, Franklin T. Luk, J. B. Rosen, Jeong Mi Park, Joohwan Chun, Moongu Jeon, Lars Eldén and Sabine Van Huffel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Computers and Protein Engineering Design and Selection.

In The Last Decade

H. Park

12 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. Park United States	9	388	186	183	133	129	12	764
Peg Howland United States	5	436 1.1×	62 0.3×	282 1.5×	28 0.2×	117 0.9×	9	643
Wenying Wen China	24	1.3k 3.3×	98 0.5×	283 1.5×	193 1.5×	78 0.6×	78	1.5k
Kalle Karu United States	13	973 2.5×	25 0.1×	72 0.4×	95 0.7×	656 5.1×	29	1.6k
Jacek Tabor Poland	17	153 0.4×	57 0.3×	238 1.3×	134 1.0×	49 0.4×	141	909
Zhiqiu Xia China	22	1.5k 3.9×	48 0.3×	127 0.7×	98 0.7×	91 0.7×	43	1.6k
Khaled Benkrid United Kingdom	17	192 0.5×	135 0.7×	248 1.4×	96 0.7×	45 0.3×	78	928
Venkat Chandrasekaran United States	11	82 0.2×	41 0.2×	184 1.0×	101 0.8×	90 0.7×	27	589
Chris Peterson United States	14	103 0.3×	24 0.1×	79 0.4×	221 1.7×	34 0.3×	62	592
Suo Gao China	17	1.3k 3.4×	121 0.7×	328 1.8×	312 2.3×	43 0.3×	32	1.5k
Xiaofeng Liao China	14	271 0.7×	53 0.3×	154 0.8×	114 0.9×	21 0.2×	29	891

Countries citing papers authored by H. Park

Since Specialization

Citations

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

Fields of papers citing papers by H. Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Park

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Park, Jeong Mi, Joohwan Chun, & H. Park. (2010). Generalised singular value decomposition-based algorithm for multi-user multiple-input multiple-output linear precoding and antenna selection. IET Communications. 4(16). 1899–1907. 23 indexed citations

2.

Howland, Peg & H. Park. (2004). Generalizing discriminant analysis using the generalized singular value decomposition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(8). 995–1006. 255 indexed citations

3.

Ye, Jieping, et al.. (2004). An optimization criterion for generalized discriminant analysis on undersampled problems. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(8). 982–994. 193 indexed citations

4.

Janardan, Ravi, et al.. (2004). A new optimization criterion for generalized discriminant analysis on undersampled problems. 419–426. 9 indexed citations

5.

Park, H., et al.. (2004). Efficient nonlinear dimension reduction for clustered data using kernel functions. 243–250. 1 indexed citations

6.

Park, H., et al.. (2003). Protein secondary structure prediction based on an improved support vector machines approach. Protein Engineering Design and Selection. 16(8). 553–560. 151 indexed citations

7.

Park, H., Sabine Van Huffel, & Lars Eldén. (2002). Fast algorithms for exponential data modeling. iv. IV/25–IV/28. 3 indexed citations

8.

Jeon, Moongu, H. Park, & J. B. Rosen. (2001). Dimension reduction based on centroids and least squares for efficient processing of text data. 1–13. 14 indexed citations

9.

Park, H., et al.. (1999). Low Rank Approximation of a Hankel Matrix by Structured Total Least Norm. BIT Numerical Mathematics. 39(4). 757–779. 44 indexed citations

10.

Park, H., et al.. (1996). Accurate downdating of a modified Gram-Schmidt QR decomposition. BIT Numerical Mathematics. 36(1). 166–181. 13 indexed citations

11.

Eldén, Lars & H. Park. (1996). Perturbation and error analyses for block downdating of a Cholesky decomposition. BIT Numerical Mathematics. 36(2). 247–263. 4 indexed citations

12.

Luk, Franklin T. & H. Park. (1989). A proof of convergence for two parallel Jacobi SVD algorithms. IEEE Transactions on Computers. 38(6). 806–811. 54 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.

Explore authors with similar magnitude of impact