Nan Yang

8.1k citations
118 papers · 3.6k · 2 hit papers · h-index 27

Impact in

Papers in

Nan Yang

107 papers receiving 3.4k citations

Nan Yang's Hit Papers

Gated Self-Matching Networks for Reading Comprehension and Question Answering 2017 · 360 citations
3600+4+8Years since publication250500750

Peers

Nan Yang
Comparison fields: 5 of 120
  • Artificial Intelligence 2.5k
  • Computer Vision and Pattern Recognition 509
  • Energy Engineering and Power Technology 66
  • Information Systems 440
  • Control and Systems Engineering 320
Replace Jiatao Gu with:
Jiatao Gu United States
Marek Reformat Canada
Zhe Liu China
Eneko Osaba Spain
Abdelghani Dahou Algeria
Pei‐Wei Tsai China
Sotirios Chatzis Cyprus
Kalyan Veeramachaneni United States
Yuyu Yin China
Sajad Ahmadian Iran
Nan Yang relative to Jiatao Gu United States Jiatao Gu's profile →
Citations per field
00.5×10×15×20×23.5×
Jiatao Gu · 1×
Citations per year

Countries citing papers authored by Nan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Nan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nan Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nan Yang Line = papers co-authored together Nan Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification
Hit paper breakdown →
2014785
2
Gated Self-Matching Networks for Reading Comprehension and Question Answering
Hit paper breakdown →
2017360
3 2015212
4 2018207
5 2017174
6 2021151
7 2014110
8 2021102
9
Modeling mention, context and entity with neural networks for entity disambiguation
201591
10 201977
11 202170
12 202166
13 201755
14 202255
15 201851
16 202146
17 201845
18 202138
19
Word Alignment Modeling with Context Dependent Deep Neural Network
201337
20 201936

About Nan Yang

Nan Yang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 118 papers that have together received 3.6k indexed citations. Recurring topics across this work include Topic Modeling (28 papers), Natural Language Processing Techniques (23 papers), Smart Grid Energy Management (18 papers), Electric Power System Optimization (17 papers), Optimal Power Flow Distribution (11 papers), Microgrid Control and Optimization (9 papers), Multimodal Machine Learning Applications (9 papers) and Energy Load and Power Forecasting (9 papers). The work is most often cited by research in Artificial Intelligence (2.5k citations), Computer Vision and Pattern Recognition (509 citations), Energy Engineering and Power Technology (66 citations), Information Systems (440 citations) and Control and Systems Engineering (320 citations). Nan Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ming Zhou, Furu Wei, Duyu Tang, Ting Liu, Bing Qin, Qingyu Zhou, Baobao Chang, Wenhui Wang, Mu Li and Shaohan Huang. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, IET Generation Transmission & Distribution, Frontiers in Energy Research, IEEE/ACM Transactions on Audio Speech and Language Processing and Energy.

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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