Lu Cheng

2.1k total citations · 1 hit paper
55 papers, 962 citations indexed

About

Lu Cheng is a scholar working on Artificial Intelligence, Education and Information Systems. According to data from OpenAlex, Lu Cheng has authored 55 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 10 papers in Education and 8 papers in Information Systems. Recurrent topics in Lu Cheng's work include Hate Speech and Cyberbullying Detection (9 papers), Bullying, Victimization, and Aggression (6 papers) and Mathematics Education and Teaching Techniques (5 papers). Lu Cheng is often cited by papers focused on Hate Speech and Cyberbullying Detection (9 papers), Bullying, Victimization, and Aggression (6 papers) and Mathematics Education and Teaching Techniques (5 papers). Lu Cheng collaborates with scholars based in United States, China and Singapore. Lu Cheng's co-authors include Huan Liu, Deborah L. Hall, Wenming Zheng, Xilei Zhang, Zhen Cui, Tengfei Song, Kush R. Varshney, Yuan Zong, Ruocheng Guo and Yasin N. Silva and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Lu Cheng

51 papers receiving 923 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion Recognition

2019 230 citations Lu Cheng et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lu Cheng United States	16	395	203	191	169	130	55	962
Lane Harrison United States	17	261 0.7×	110 0.5×	187 1.0×	94 0.6×	47 0.4×	70	1.1k
Kasia Müldner Canada	19	349 0.9×	136 0.7×	59 0.3×	83 0.5×	192 1.5×	61	1.0k
Kenneth M. Ford United States	20	412 1.0×	87 0.4×	119 0.6×	242 1.4×	142 1.1×	63	1.2k
Gregg Vesonder United States	13	304 0.8×	237 1.2×	241 1.3×	80 0.5×	186 1.4×	43	1.1k
Patricia Ralston United States	18	117 0.3×	116 0.6×	74 0.4×	77 0.5×	251 1.9×	88	1.1k
Olga C. Santos Spain	23	543 1.4×	169 0.8×	100 0.5×	117 0.7×	173 1.3×	111	1.6k
James Shaw United States	14	723 1.8×	159 0.8×	194 1.0×	101 0.6×	61 0.5×	25	1.5k
Roger W. Schvaneveldt United States	9	330 0.8×	136 0.7×	92 0.5×	278 1.6×	100 0.8×	24	1.1k
Robert Farrell United States	15	707 1.8×	103 0.5×	58 0.3×	46 0.3×	103 0.8×	42	1.4k
Jesús G. Boticario Spain	23	447 1.1×	153 0.8×	94 0.5×	97 0.6×	142 1.1×	108	1.3k

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-authorship network of co-authors of Lu Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Cheng. A scholar is included among the top collaborators of Lu Cheng 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 Lu Cheng. Lu Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Chen, Canyu, et al.. (2025). Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices. 6825–6828.

2.

Jin, Xin, Yijun Tian, Han Liu, et al.. (2025). Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey. AI and Ethics. 5(5). 4745–4771. 2 indexed citations

3.

Kang, Jian, et al.. (2024). Conformalized Link Prediction on Graph Neural Networks. 4490–4499. 3 indexed citations

4.

Wang, Qianru, Bin Guo, Lu Cheng, & Zhiwen Yu. (2023). sUrban. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(3). 1–20. 2 indexed citations

5.

Toh, Tin Lam, et al.. (2023). Primary school students' perceptions of using comics as a mode of instruction in the mathematics classroom. International Journal of Mathematical Education in Science and Technology. 55(4). 997–1023. 1 indexed citations

6.

Cheng, Lu, et al.. (2023). Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs. 3474–3483. 2 indexed citations

7.

Cheng, Lu, Kush R. Varshney, & Huan Liu. (2021). Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. Journal of Artificial Intelligence Research. 71. 1137–1181. 114 indexed citations

8.

Wang, Qianru, Bin Guo, Yi Ouyang, et al.. (2021). Learning Shared Mobility-Aware Knowledge for Multiple Urban Travel Demands. IEEE Internet of Things Journal. 9(9). 7025–7035. 9 indexed citations

9.

Cheng, Lu, et al.. (2021). Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach. 2158–2168. 15 indexed citations

10.

Hall, Deborah L., et al.. (2021). Harnessing the Power of Interdisciplinary Research with Psychology-Informed Cyberbullying Detection Models. International Journal of Bullying Prevention. 4(1). 47–54. 7 indexed citations

11.

Guo, Ruocheng, Lu Cheng, Jundong Li, P. Richard Hahn, & Huan Liu. (2020). A Survey of Learning Causality with Data. ACM Computing Surveys. 53(4). 1–37. 39 indexed citations

12.

Cheng, Lu, Jundong Li, K. Selçuk Candan, & Huan Liu. (2020). Tracking Disaster Footprints with Social Streaming Data. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 370–377. 2 indexed citations

13.

Wu, Hanqian, et al.. (2019). Dialog Acts Classification with Semantic and Structural Information. 438–442. 1 indexed citations

14.

Leong, Yew Hoong, et al.. (2019). Teaching students to apply formula using instructional materials: a case of a Singapore teacher’s practice. Mathematics Education Research Journal. 33(1). 89–111. 14 indexed citations

15.

Toh, Tin Lam, et al.. (2017). Use of comics to enhance students’ learning for the development of the twenty-first century competencies in the mathematics classroom. Asia Pacific Journal of Education. 37(4). 437–452. 42 indexed citations

16.

Cheng, Lu, et al.. (2015). Teacher-Team Development in a School-Based Professional Development Program. The Mathematics educator. 19(1). 14 indexed citations

17.

Cheng, Lu, et al.. (2015). A Singapore Case of Lesson Study. The Mathematics educator. 21(2). 14 indexed citations

18.

Cheng, Lu. (2015). Error Analysis for Arithmetic Word Problems--A Case Study of Primary Three Students in One Singapore School.. 3 indexed citations

19.

Cheng, Lu. (2013). Posing Problems to Understand Children's Learning of Fractions.. Mathematics Education Research Group of Australasia. 3 indexed citations

20.

Cheng, Lu. (2013). The Design of a Mathematics Problem Using Real-Life Context for Young Children.. 36(1). 23–43. 11 indexed citations

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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