Lu Cheng

51 papers receiving 982 citations

Lu Cheng's Hit Papers

MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion Recognition 2019 · 243 citations
2430+2+4Years since publication50100150200

Peers

Lu Cheng
Comparison fields: 5 of 107
  • Health Informatics 30
  • Experimental and Cognitive Psychology 212
  • Artificial Intelligence 405
  • Cognitive Neuroscience 188
  • Signal Processing 109
Replace Andrew M. Olney with:
Andrew M. Olney United States
Albert Gatt Malta
Kenneth M. Ford United States
Bradford Mott United States
Juan D. Velásquez Chile
Fanny Chevalier Canada
James Shaw United States
Roi Reichart Israel
Kasia Müldner Canada
Jesús G. Boticario Spain
Lu Cheng relative to Andrew M. Olney United States Andrew M. Olney's profile →
Citations per field
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Andrew M. Olney · 1×
Citations per year

Countries citing papers authored by Lu Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Lu Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lu Cheng, 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 Lu Cheng Line = papers co-authored together Lu Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion Recognition
Hit paper breakdown →
2019243
2 2021127
3 201985
4 201745
5 202242
6
Concrete-Pictorial-Abstract: Surveying its origins and charting its future
201540
7 202039
8 202335
9 201927
10 202126
11 202025
12 202022
13 201920
14 202416
15 202216
16 201515
17 202115
18 201514
19 201914
20
The Design of a Mathematics Problem Using Real-Life Context for Young Children.
201311

About Lu Cheng

Lu Cheng is a scholar working on Artificial Intelligence, Education, Information Systems, Social Psychology and Sociology and Political Science, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (9 papers), Bullying, Victimization, and Aggression (6 papers), Mathematics Education and Teaching Techniques (5 papers), Comics and Graphic Narratives (4 papers), Ethics and Social Impacts of AI (4 papers), Topic Modeling (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Health Informatics (30 citations), Experimental and Cognitive Psychology (212 citations), Artificial Intelligence (405 citations), Cognitive Neuroscience (188 citations) and Signal Processing (109 citations). Lu Cheng has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Huan Liu, Deborah L. Hall, Kush R. Varshney, Tengfei Song, Xilei Zhang, Zhen Cui, Yuan Zong, Wenming Zheng, Ruocheng Guo and Yasin N. Silva. Their work appears in journals such as ACM Computing Surveys, ACM Transactions on Knowledge Discovery from Data, Mathematics Education Research Journal, Journal of Building Engineering and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

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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