Changqin Quan

2.3k citations
132 papers · 1.5k indexed · h-index 18
Topics
Sentiment Analysis and Opinion Mining (24 papers)Multilevel Inverters and Converters (23 papers)Emotion and Mood Recognition (19 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Changqin Quan

121 papers receiving 1.4k citations

Peers

Changqin Quan
Comparison fields: 5 of 124
  • Artificial Intelligence 733
  • Electrical and Electronic Engineering 235
  • Molecular Biology 200
  • Experimental and Cognitive Psychology 193
  • Physiology 152
Replace Roberto Muñoz with:
Roberto Muñoz Chile
M. P. S. Bhatia India
Rahul Gupta United States
Satoshi Nakamura Japan
V. Ramalingam India
Swati Aggarwal India
Di Wang Singapore
Mohammad Abu Yousuf Bangladesh
Raj Reddy United States
Changqin Quan relative to Roberto Muñoz Chile Roberto Muñoz's profile →
Citations per field
00.5×10×13.3×
Roberto Muñoz · 1×
Citations per year

Countries citing papers authored by Changqin Quan

Since Specialization
Citations

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

Fields of papers citing papers by Changqin Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changqin Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Changqin Quan. A scholar is included among the top collaborators of Changqin Quan 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 Changqin Quan. Changqin Quan 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
#WorkIndexed citations
1 0
2 2
3 0
4 1
5 1
6 1
7 0
8 2
9 4
10 0
11 8
12 54
13 65
14
Finding Emotional Focus for Emotion Recognition at Sentence Level
3
15 15
16 7
17
An Exploration of Features for Recognizing Word Emotion
22
18
SENTIMENTAL CLASSIFICATION BASED ON KERNEL METHODS AND DOMAIN SEMANTIC ORIENTATION DICTIONARIES
4
19 1
20
Word Sense Disambiguation Based on Word Sense Indicators
1

About Changqin Quan

Changqin Quan is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Control and Systems Engineering, having authored 132 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (24 papers), Multilevel Inverters and Converters (23 papers) and Emotion and Mood Recognition (19 papers). The work is most often cited by research in Artificial Intelligence (733 citations), Experimental and Cognitive Psychology (193 citations) and Signal Processing (119 citations). Changqin Quan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Fuji Ren, Zhiwei Luo, Kang Ren, Lei Hua, Xiao Sun, Meng Wang, Xin Kang, Qunjing Wang, Cungang Hu and Ya‐Xiong Wang. Their work appears in journals such as PLoS ONE, Energy Conversion and Management and IEEE Access.

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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