Ruifang He

757 total citations
48 papers, 514 citations indexed

About

Ruifang He is a scholar working on Artificial Intelligence, Economics and Econometrics and Statistical and Nonlinear Physics. According to data from OpenAlex, Ruifang He has authored 48 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 8 papers in Economics and Econometrics and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Ruifang He's work include Topic Modeling (32 papers), Natural Language Processing Techniques (21 papers) and Speech and dialogue systems (10 papers). Ruifang He is often cited by papers focused on Topic Modeling (32 papers), Natural Language Processing Techniques (21 papers) and Speech and dialogue systems (10 papers). Ruifang He collaborates with scholars based in China, Japan and United States. Ruifang He's co-authors include Meirui Zhong, Jianbai Huang, Jianwu Dang, Yuexian Hou, Bo Wang, Jinyu Chen, Longbiao Wang, Jian Wang, Di Jin and Bo Wang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Ruifang He

45 papers receiving 493 citations

Peers

Ruifang He
Comparison fields: 5 of 72
  • Artificial Intelligence 309
  • Economics and Econometrics 123
  • Information Systems 81
  • Renewable Energy, Sustainability and the Environment 51
  • Computer Vision and Pattern Recognition 50
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Yiding Liu China
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Yiding Liu China View profile →
Citations per field, relative to Ruifang He
Ruifang He · 1×
Citations per year, relative to Ruifang He
Ruifang He · 1×

Countries citing papers authored by Ruifang He

Since Specialization
Citations

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

Fields of papers citing papers by Ruifang He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruifang He

This figure shows the co-authorship network connecting the top 25 collaborators of Ruifang He. A scholar is included among the top collaborators of Ruifang He 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 Ruifang He. Ruifang He 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
# Work Indexed citations
1 1
2 1
3 1
4 1
5 1
6 1
7 2
8 2
9 2
10 5
11 7
12 0
13 18
14 4
15 12
16
Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention
5
17
Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning
28
18
Exploiting Document Level Information to Improve Event Detection via Recurrent Neural Networks
33
19
A Novel Heuristic Error-Driven Learning for Recognizing Chinese Time Expression.
1
20
HITIR's Update Summary at TAC 2008: Extractive Content Selection for Language Independence.
2

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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