Mou-Yen Chen

428 total citations
8 papers, 323 citations indexed

About

Mou-Yen Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mou-Yen Chen has authored 8 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Mou-Yen Chen's work include Handwritten Text Recognition Techniques (8 papers), Speech Recognition and Synthesis (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Mou-Yen Chen is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Speech Recognition and Synthesis (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Mou-Yen Chen collaborates with scholars based in United States, Taiwan and France. Mou-Yen Chen's co-authors include Amlan Kundu, Jian Zhou, Sargur N. Srihari, A. Kundu and Yang He and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Mou-Yen Chen

8 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mou-Yen Chen United States	6	241	151	73	47	28	8	323
S. Knerr France	9	343 1.4×	239 1.6×	81 1.1×	27 0.6×	63 2.3×	12	446
Curtis Wigington United States	9	217 0.9×	191 1.3×	41 0.6×	22 0.5×	25 0.9×	17	339
Hiromitsu Yamada Japan	8	296 1.2×	66 0.4×	77 1.1×	16 0.3×	9 0.3×	29	346
Gräf Canada	3	230 1.0×	78 0.5×	49 0.7×	21 0.4×	9 0.3×	3	289
Hidetoshi Miyao Japan	10	303 1.3×	53 0.4×	66 0.9×	58 1.2×	20 0.7×	20	335
Wataru Ohyama Japan	9	231 1.0×	132 0.9×	84 1.2×	16 0.3×	22 0.8×	64	313
Kwang In Kim Germany	7	634 2.6×	71 0.5×	194 2.7×	24 0.5×	9 0.3×	8	696
Kai Ding China	10	227 0.9×	75 0.5×	60 0.8×	9 0.2×	33 1.2×	27	277
Ronaldo Messina France	7	227 0.9×	148 1.0×	58 0.8×	28 0.6×	20 0.7×	10	273
Mauricio Villegas Spain	12	318 1.3×	108 0.7×	67 0.9×	48 1.0×	16 0.6×	25	349

Countries citing papers authored by Mou-Yen Chen

Since Specialization

Citations

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

Fields of papers citing papers by Mou-Yen Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mou-Yen Chen. 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 Mou-Yen Chen. The network helps show where Mou-Yen Chen may publish in the future.

Co-authorship network of co-authors of Mou-Yen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Mou-Yen Chen. A scholar is included among the top collaborators of Mou-Yen Chen 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 Mou-Yen Chen. Mou-Yen Chen 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:

8 of 8 papers shown

1.

Chen, Mou-Yen & A. Kundu. (2002). Multilevel HMM for handwritten word recognition. 4. 2623–2626. 4 indexed citations

2.

He, Yang, Mou-Yen Chen, & A. Kundu. (2002). Off-line handwritten word recognition using HMM with adaptive length Viterbi algorithm. 2. 460–462. 3 indexed citations

3.

Kundu, A., Yang He, & Mou-Yen Chen. (2002). Efficient utilization of variable duration information in HMM based HWR systems. 3. 304–307. 7 indexed citations

4.

Chen, Mou-Yen & A. Kundu. (2002). A complement to variable duration hidden Markov model in handwritten word recognition. 1. 174–178. 6 indexed citations

5.

Kundu, A., Yang He, & Mou-Yen Chen. (1998). Alternatives to variable duration HMM in handwriting recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(11). 1275–1280. 24 indexed citations

6.

Chen, Mou-Yen, Amlan Kundu, & Sargur N. Srihari. (1995). Variable duration hidden markov model and morphological segmentation for handwritten word recognition. IEEE Transactions on Image Processing. 4(12). 1675–1688. 95 indexed citations

7.

Chen, Mou-Yen, Amlan Kundu, & Jian Zhou. (1994). Off-line handwritten word recognition using a hidden Markov model type stochastic network. IEEE Transactions on Pattern Analysis and Machine Intelligence. 16(5). 481–496. 178 indexed citations

8.

Chen, Mou-Yen. (1993). Handwritten word recognition using hidden Markov models. 6 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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