Changchun Liu
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- Emotion and Mood Recognition 8
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research 4
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- Digital Transformation in Industry 11
- Industrial Vision Systems and Defect Detection 8
- Manufacturing Process and Optimization 5
- Human-Computer Interaction top 5%
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- Robot Manipulation and Learning 6
- Machine Fault Diagnosis Techniques 4
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- Social Robot Interaction and HRI 6
- Co-authors
- Nilanjan SarkarPramila RaniEric J. VanmanDunbing TangShuo ChenWendy L. StoneKarla ConnQingwei Nie
- Cited by
- Experimental and Cognitive PsychologyCognitive NeuroscienceIndustrial and Manufacturing Engineering
- Journals
- Robotics and Computer-Integrated Manufacturing (4 papers)International Journal of Production Research (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Changchun Liu
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Experimental and Cognitive Psychology 329
- Cognitive Neuroscience 397
- Industrial and Manufacturing Engineering 180
- Human-Computer Interaction 91
- Medical Laboratory Technology 21
Countries citing papers authored by Changchun Liu
This map shows the geographic impact of Changchun Liu'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 Changchun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changchun Liu more than expected).
Fields of papers citing papers by Changchun Liu
This network shows the impact of papers produced by Changchun Liu. 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 Changchun Liu. The network helps show where Changchun Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Changchun Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 3 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 25 | |
| 11 | 2023 | 42 | |
| 12 | 2023 | 11 | |
| 13 | 2023 | 42 | |
| 14 | 2022 | 23 | |
| 15 | 2022 | 82 | |
| 16 | 2021 | 48 | |
| 17 | 2020 | 12 | |
| 18 | 2012 | 113 | |
| 19 | 2006 | 14 | |
| 20 | Weak solutions for a viscous p-Laplacian equation | 2003 | 15 |
About Changchun Liu
Changchun Liu is a scholar working on Industrial and Manufacturing Engineering, Experimental and Cognitive Psychology and Medical Laboratory Technology, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Digital Transformation in Industry (11 papers), Emotion and Mood Recognition (8 papers), Industrial Vision Systems and Defect Detection (8 papers), Robot Manipulation and Learning (6 papers), Social Robot Interaction and HRI (6 papers), Manufacturing Process and Optimization (5 papers), Autism Spectrum Disorder Research (4 papers) and Machine Fault Diagnosis Techniques (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (329 citations), Cognitive Neuroscience (397 citations) and Industrial and Manufacturing Engineering (180 citations). Changchun Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Nilanjan Sarkar, Pramila Rani, Eric J. Vanman, Dunbing Tang, Shuo Chen, Wendy L. Stone, Karla Conn, Qingwei Nie, Haihua Zhu and Jing‐Cao Dai. Their work appears in journals such as Robotics and Computer-Integrated Manufacturing, International Journal of Production Research, Scientific Reports, Chemical Communications and Measurement.
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.