Yin-Wen Chang

860 total citations · 1 hit paper
8 papers, 581 citations indexed

About

Yin-Wen Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Yin-Wen Chang has authored 8 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Yin-Wen Chang's work include Natural Language Processing Techniques (7 papers), Topic Modeling (5 papers) and Speech and dialogue systems (2 papers). Yin-Wen Chang is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (5 papers) and Speech and dialogue systems (2 papers). Yin-Wen Chang collaborates with scholars based in United States and Taiwan. Yin-Wen Chang's co-authors include Chih‐Jen Lin, Kai‐Wei Chang, Cho‐Jui Hsieh, Michael Collins, Chun-Sung Ferng, Srinadh Bhojanapalli, Hyung Won Chung, Henry Tsai, Alexander M. Rush and Michael J. Collins and has published in prestigious journals such as Journal of Machine Learning Research, Transactions of the Association for Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Yin-Wen Chang

7 papers receiving 554 citations

Hit Papers

align trajectories sort by overperformance

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.

Training and Testing Low-degree Polynomial Data Mappings via Linear SVM

2010 343 citations Yin-Wen Chang, Cho‐Jui Hsieh et al. Journal of Machine Learning Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yin-Wen Chang United States	6	253	166	81	50	34	8	581
Kazi Md. Rokibul Alam Bangladesh	11	214 0.8×	191 1.2×	64 0.8×	72 1.4×	44 1.3×	49	775
Xingjian Li China	14	335 1.3×	175 1.1×	63 0.8×	30 0.6×	20 0.6×	57	782
Artur Ferreira Portugal	8	281 1.1×	169 1.0×	70 0.9×	97 1.9×	16 0.5×	31	607
Umar Manzoor Pakistan	16	303 1.2×	116 0.7×	138 1.7×	29 0.6×	35 1.0×	74	778
Boonserm Kijsirikul Thailand	16	376 1.5×	258 1.6×	64 0.8×	42 0.8×	49 1.4×	85	764
Ahmed A. Elngar Egypt	14	326 1.3×	215 1.3×	111 1.4×	28 0.6×	28 0.8×	84	855
Raul Victor M. da Nóbrega Brazil	9	249 1.0×	184 1.1×	50 0.6×	32 0.6×	23 0.7×	9	812
Jwan Najeeb Saeed Iraq	12	331 1.3×	231 1.4×	61 0.8×	41 0.8×	42 1.2×	17	855
Jafar Tanha Iran	13	512 2.0×	178 1.1×	93 1.1×	33 0.7×	28 0.8×	76	841
Sujuan Hou China	14	242 1.0×	278 1.7×	41 0.5×	49 1.0×	37 1.1×	37	887

Countries citing papers authored by Yin-Wen Chang

Since Specialization

Citations

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

Fields of papers citing papers by Yin-Wen Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yin-Wen Chang. 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 Yin-Wen Chang. The network helps show where Yin-Wen Chang may publish in the future.

Co-authorship network of co-authors of Yin-Wen Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yin-Wen Chang. A scholar is included among the top collaborators of Yin-Wen Chang 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 Yin-Wen Chang. Yin-Wen Chang 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.

Tsai, Henry, et al.. (2021). Demystifying the Better Performance of Position Encoding Variants for Transformer. arXiv (Cornell University). 4 indexed citations

2.

Tsai, Henry, et al.. (2021). A Simple and Effective Positional Encoding for Transformers. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2974–2988. 33 indexed citations

3.

Chang, Yin-Wen & Michael Collins. (2017). A Polynomial-Time Dynamic Programming Algorithm for Phrase-Based Decoding with a Fixed Distortion Limit. Transactions of the Association for Computational Linguistics. 5. 59–71.

4.

Chang, Yin-Wen, Alexander M. Rush, John DeNero, & Michael Collins. (2014). A Constrained Viterbi Relaxation for Bidirectional Word Alignment. 1481–1490. 7 indexed citations

5.

Rush, Alexander M., Yin-Wen Chang, & Michael J. Collins. (2013). Optimal Beam Search for Machine Translation. 210–221. 9 indexed citations

6.

Chang, Yin-Wen & Michael Collins. (2011). Exact Decoding of Phrase-Based Translation Models through Lagrangian Relaxation. DSpace@MIT (Massachusetts Institute of Technology). 26–37. 32 indexed citations

7.

Chang, Yin-Wen, et al.. (2010). Training and Testing Low-degree Polynomial Data Mappings via Linear SVM. Journal of Machine Learning Research. 11(48). 1471–1490. 343 indexed citations breakdown →

8.

Chang, Yin-Wen & Chih‐Jen Lin. (2008). Feature Ranking Using Linear SVM. 53–64. 153 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