Changhua Yang

23 total papers · 691 total citations
17 papers, 440 citations indexed

About

Changhua Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Changhua Yang has authored 17 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Changhua Yang's work include Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (6 papers) and Text and Document Classification Technologies (5 papers). Changhua Yang is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (6 papers) and Text and Document Classification Technologies (5 papers). Changhua Yang collaborates with scholars based in Taiwan, China and United States. Changhua Yang's co-authors include Hsin‐Hsi Chen, Kevin Lin, Ying Lin, Weihao Lin, Jing Lu, Chu‐Ren Huang, Jinlong Yang, Yi‐Ping Hung, Yung‐Yu Chuang and Liwei Chan and has published in prestigious journals such as IET Generation Transmission & Distribution, Journal of the American Society for Information Science and Technology and International Conference on Computational Linguistics.

In The Last Decade

Changhua Yang

16 papers receiving 411 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Changhua Yang	390	84	50	39	35	17	440
Lalindra De Silva	363 0.9×	74 0.9×	32 0.6×	28 0.7×	36 1.0×	6	446
Balázs Kis	340 0.9×	48 0.6×	39 0.8×	21 0.5×	14 0.4×	12	439
Kyo-Joong Oh	223 0.6×	70 0.8×	39 0.8×	47 1.2×	17 0.5×	22	385
Evelyne Viegas	293 0.8×	90 1.1×	52 1.0×	30 0.8×	12 0.3×	32	449
Johannes Knopp	345 0.9×	71 0.8×	25 0.5×	17 0.4×	14 0.4×	6	440
Ranjan Satapathy	310 0.8×	54 0.6×	53 1.1×	20 0.5×	13 0.4×	25	410
Daniel Olsher	357 0.9×	57 0.7×	22 0.4×	38 1.0×	30 0.9×	13	432
Renxian Zhang	273 0.7×	95 1.1×	10 0.2×	49 1.3×	28 0.8×	28	367
Umang Gupta	257 0.7×	38 0.5×	62 1.2×	37 0.9×	11 0.3×	25	440
Puneet Agrawal	356 0.9×	48 0.6×	119 2.4×	66 1.7×	9 0.3×	13	434

Countries citing papers authored by Changhua Yang

Since Specialization

Citations

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

Fields of papers citing papers by Changhua Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changhua Yang

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

All Works

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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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