Lihua Cai

528 total citations
24 papers, 342 citations indexed

About

Lihua Cai is a scholar working on Experimental and Cognitive Psychology, Applied Psychology and Computer Science Applications. According to data from OpenAlex, Lihua Cai has authored 24 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Experimental and Cognitive Psychology, 8 papers in Applied Psychology and 5 papers in Computer Science Applications. Recurrent topics in Lihua Cai's work include Mental Health Research Topics (9 papers), Digital Mental Health Interventions (8 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). Lihua Cai is often cited by papers focused on Mental Health Research Topics (9 papers), Digital Mental Health Interventions (8 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). Lihua Cai collaborates with scholars based in United States, China and India. Lihua Cai's co-authors include Mehdi Boukhechba, Laura E. Barnes, Chao Dai, Matthew S. Gerber, Zhiyuan Wang, Robert Gutiérrez, Jiechao Gao, Laura L. Barnes, Philip I. Chow and T. F. Gallagher and has published in prestigious journals such as Physical Review A, IEEE Transactions on Affective Computing and Anxiety Stress & Coping.

In The Last Decade

Lihua Cai

23 papers receiving 324 citations

Peers

Countries citing papers authored by Lihua Cai

Since Specialization

Citations

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

Fields of papers citing papers by Lihua Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihua Cai

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Pricing strategy of supply chain considering response time of extended warranty service 2025 ·Operations Research Perspectives ·Xingjian Zhou, (unknown), Hongming Chen, Lihua Cai, (unknown)	1
2	Wearable Sensor-Based Multimodal Physiological Responses of Socially Anxious Individuals in Social Contexts on Zoom 2025 ·IEEE Transactions on Affective Computing ·Emma R. Toner, (unknown), Zhiyuan Wang, (unknown), Lihua Cai, (unknown), (unknown), Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes	1
3	Mixture of Attention Variants for Modal Fusion in Multi-Modal Sentiment Analysis 2024 ·Big Data and Cognitive Computing ·(unknown), Xinghua Zhang, (unknown), (unknown), Chengjie Mao, (unknown), Dingju Zhu, Lihua Cai	3
4	Multimodal Sentiment Analysis Based on Multiple Stacked Attention Mechanisms 2023 ·(unknown), (unknown), Nan Zhong, (unknown), (unknown), Dingju Zhu, Lihua Cai	0
5	Understanding the Relationship Between Mood Symptoms and Mobile App Engagement Among Patients With Breast Cancer Using Machine Learning: Case Study 2022 ·JMIR Medical Informatics ·(unknown), Lihua Cai, Aram Bahrini, (unknown), Mehdi Boukhechba, Philip I. Chow	4
6	Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19 2022 ·(unknown), Debajyoti Datta, (unknown), Lihua Cai, Mehdi Boukhechba, Laura E. Barnes	8
7	Semi-supervised Graph Instance Transformer for Mental Health Inference 2021 ·2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) ·(unknown), (unknown), Lihua Cai, Laura E. Barnes, Mehdi Boukhechba	12
8	Cognitive bias modification for threat interpretations: using passive Mobile Sensing to detect intervention effects in daily life 2021 ·Anxiety Stress & Coping ·Katharine E. Daniel, (unknown), (unknown), Lihua Cai, Bethany A. Teachman, Laura E. Barnes, Mehdi Boukhechba	4
9	Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19 2021 ·(unknown), Lihua Cai, (unknown), Debajyoti Datta, Laura E. Barnes, Mehdi Boukhechba	3
10	Influenza-like symptom recognition using mobile sensing and graph neural networks 2021 ·(unknown), Lihua Cai, Debajyoti Datta, (unknown), Laura E. Barnes, Mehdi Boukhechba	18
11	Mobile Sensing: Leveraging Machine Learning for Efficient Human Behavior Modeling 2020 ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Lihua Cai, Laura E. Barnes, Mehdi Boukhechba	2
12	Adaptive Passive Mobile Sensing Using Reinforcement Learning 2019 ·Lihua Cai, Mehdi Boukhechba, (unknown), (unknown), Laura E. Barnes, Matthew S. Gerber	8
13	An integrated framework for using mobile sensing to understand response to mobile interventions among breast cancer patients 2019 ·Smart Health ·Lihua Cai, Mehdi Boukhechba, Matthew S. Gerber, Laura E. Barnes, Shayna L. Showalter, Wendy Cohn, Philip I. Chow	11
14	Contextual Analysis to Understand Compliance with Smartphone-based Ecological Momentary Assessment 2018 ·Mehdi Boukhechba, Lihua Cai, Philip I. Chow, Karl Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes	29
15	Vector Space Representation of Bluetooth Encounters for Mental Health Inference 2018 ·(unknown), Lihua Cai, Matthew S. Gerber, Mehdi Boukhechba, Laura E. Barnes	2
16	Improving momentary stress measurement and prediction with bluetooth encounter networks 2018 ·Smart Health ·(unknown), Mehdi Boukhechba, Lihua Cai, Laura E. Barnes, Matthew S. Gerber	11
17	State affect recognition using smartphone sensing data 2018 ·Lihua Cai, Mehdi Boukhechba, (unknown), Philip I. Chow, Bethany A. Teachman, Laura E. Barnes, Matthew S. Gerber	11
18	Barium 5djnfj′J=3 autoionizing series 1992 ·Physical Review A ·(unknown), Lihua Cai, R. R. Jones, T. F. Gallagher	3
19	Angular distributions of ejected electrons from autoionizing 3pndstates of magnesium 1992 ·Physical Review A ·(unknown), Chao Dai, Lihua Cai, T. F. Gallagher, F. Robicheaux, Chris H. Greene	45
20	Angular distribution of ejected electrons from autoionizing 3pnsstates of magnesium 1992 ·Physical Review A ·(unknown), Lihua Cai, Gregory W. Schinn, Chao Dai, T. F. Gallagher	38

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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