Yating Yang

2.7k total citations · 1 hit paper
71 papers, 1.9k citations indexed

About

Yating Yang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yating Yang has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 13 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yating Yang's work include Natural Language Processing Techniques (27 papers), Topic Modeling (23 papers) and Speech Recognition and Synthesis (8 papers). Yating Yang is often cited by papers focused on Natural Language Processing Techniques (27 papers), Topic Modeling (23 papers) and Speech Recognition and Synthesis (8 papers). Yating Yang collaborates with scholars based in China, Taiwan and United Kingdom. Yating Yang's co-authors include Jeen-Shing Wang, Yu‐Liang Hsu, Chung‐Yao Hsu, Jeffrey Hugh Gamble, Rob Law, Yishuo Zhang, Gang Li, Birgit Muskat, Hongtao Xie and Shancheng Fang and has published in prestigious journals such as Food Chemistry, IEEE Access and Computers & Education.

In The Last Decade

Yating Yang

62 papers receiving 1.7k citations

Hit Papers

Digital storytelling for enhancing student academic achie... 2012 2026 2016 2021 2012 100 200 300 400 500
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.

  1. Digital storytelling for enhancing student academic achievement, critical thinking, and learning motivation: A year-long experimental study
    2012 510 citations Yating Yang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yating Yang China 17 619 469 375 275 233 71 1.9k
Yu‐Ju Lan Taiwan 23 598 1.0× 569 1.2× 63 0.2× 526 1.9× 80 0.3× 81 1.6k
Chen‐Chung Liu Taiwan 21 671 1.1× 753 1.6× 143 0.4× 363 1.3× 19 0.1× 61 1.6k
Günter Daniel Rey Germany 30 882 1.4× 1.1k 2.4× 35 0.1× 286 1.0× 252 1.1× 105 2.9k
Tina Seufert Germany 26 816 1.3× 1.1k 2.3× 44 0.1× 181 0.7× 270 1.2× 58 2.7k
Youngkyun Baek United States 17 506 0.8× 570 1.2× 120 0.3× 312 1.1× 16 0.1× 45 1.4k
Robb Lindgren United States 15 381 0.6× 601 1.3× 44 0.1× 189 0.7× 153 0.7× 50 1.4k
William Winn United States 25 998 1.6× 976 2.1× 34 0.1× 167 0.6× 147 0.6× 68 2.0k
Glen Bull United States 17 373 0.6× 187 0.4× 151 0.4× 177 0.6× 19 0.1× 67 981
Ting‐Ting Wu Taiwan 25 681 1.1× 619 1.3× 41 0.1× 590 2.1× 40 0.2× 99 2.0k
Sascha Schneider Germany 24 556 0.9× 709 1.5× 26 0.1× 154 0.6× 90 0.4× 68 1.7k

Countries citing papers authored by Yating Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yating Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yating Yang

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

All Works

20 of 20 papers shown
1.
Liu, Guojun, et al.. (2024). Effects of cyclic loading history on liquefaction resistance for saturated sand. Japanese Geotechnical Society Special Publication. 10(21). 781–785. 1 indexed citations
2.
Yang, Yating, Shuimu Lin, Lirong Xu, et al.. (2024). Development and antimicrobial activity of composite edible films of chitosan and nisin incorporated with perilla essential oil-glycerol monolaurate emulsions. Food Chemistry. 462. 141006–141006. 20 indexed citations
3.
Yang, Yating, et al.. (2023). WAD-X: Improving Zero-shot Cross-lingual Transfer via Adapter-based Word Alignment. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(9). 1–23.
4.
Yang, Yating, et al.. (2023). An Image-based AI Nutrition Analysis Platform for Food in Compartment Trays. 373–374. 1 indexed citations
5.
Yang, Yating, et al.. (2023). Design of a Wide-Range and High-Precision Analog Front-End Circuit for Multi-Parameter Sensors. Electronics. 12(13). 2962–2962. 1 indexed citations
6.
Wang, Lei, et al.. (2023). Relational concept enhanced prototypical network for incremental few-shot relation classification. Knowledge-Based Systems. 284. 111282–111282. 6 indexed citations
7.
Yang, Yating, et al.. (2021). RTJTN: Relational Triplet Joint Tagging Network for Joint Entity and Relation Extraction. Computational Intelligence and Neuroscience. 2021(1). 3447473–3447473. 1 indexed citations
8.
Li, Xiao, et al.. (2021). Pre-Training on Mixed Data for Low-Resource Neural Machine Translation. Information. 12(3). 133–133. 4 indexed citations
9.
Li, Xiao, et al.. (2020). Keeping Models Consistent between Pretraining and Translation for Low-Resource Neural Machine Translation. Future Internet. 12(12). 215–215. 5 indexed citations
10.
Xiao, Li, et al.. (2019). A Novel Deep Learning Method for Obtaining Bilingual Corpus from Multilingual Website. Mathematical Problems in Engineering. 2019(1). 10 indexed citations
11.
Li, Xiao, et al.. (2019). Construction of the Uyghur Noun Morphological Re-Inflection Model Based on Hybrid Strategy. Applied Sciences. 9(4). 722–722. 2 indexed citations
12.
Yang, Yating, et al.. (2018). A Neural Network Based Model for Loanword Identification in Uyghur. Language Resources and Evaluation. 3 indexed citations
13.
Yang, Yating, et al.. (2018). Toward Better Loanword Identification in Uyghur Using Cross-lingual Word Embeddings. International Conference on Computational Linguistics. 3027–3037. 3 indexed citations
14.
Jiang, Tonghai, et al.. (2017). A Novel Data Integration Framework Based on Unified Concept Model. IEEE Access. 5. 5713–5722. 9 indexed citations
15.
Yang, Yating, et al.. (2016). Recurrent Neural Network Based Loanwords Identification in Uyghur.. Waseda University Repository (Waseda University). 209–217. 5 indexed citations
16.
Yang, Yating, et al.. (2014). A Phrase Table Filtering Model Based on Binary Classification for Uyghur-Chinese Machine Translation. Journal of Computers. 9(12). 2780–2786. 1 indexed citations
17.
Jiang, Wenbin, Meng Sun, Yajuan Lü, Yating Yang, & Qun Liu. (2013). Discriminative Learning with Natural Annotations: Word Segmentation as a Case Study. Meeting of the Association for Computational Linguistics. 761–769. 23 indexed citations
18.
Yang, Yating, et al.. (2012). Semantically enhanced Uyghur Information Retrieval Model. Journal of Software. 7(6). 1 indexed citations
19.
Yang, Yating. (2012). Cultivating critical thinkers: Exploring transfer of learning from pre-service teacher training to classroom practice. Teaching and Teacher Education. 28(8). 1116–1130. 59 indexed citations
20.
Yang, Yating, et al.. (2006). Critical Thinking Instruction Model in Teacher Education. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2006(1). 1131–1135. 1 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

Breakdown of academic impact, for papers by Yu‐Ju Lan Breakdown of academic impact, for papers by Chen‐Chung Liu Breakdown of academic impact, for papers by Günter Daniel Rey Breakdown of academic impact, for papers by Tina Seufert Breakdown of academic impact, for papers by Youngkyun Baek Breakdown of academic impact, for papers by Robb Lindgren Breakdown of academic impact, for papers by William Winn Breakdown of academic impact, for papers by Glen Bull Breakdown of academic impact, for papers by Ting‐Ting Wu Breakdown of academic impact, for papers by Sascha Schneider
Rankless by CCL
2026