Rui Mao

2.9k total citations · 2 hit papers
103 papers, 1.6k citations indexed

About

Rui Mao is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Management Science and Operations Research. According to data from OpenAlex, Rui Mao has authored 103 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 19 papers in Experimental and Cognitive Psychology and 14 papers in Management Science and Operations Research. Recurrent topics in Rui Mao's work include Topic Modeling (30 papers), Natural Language Processing Techniques (24 papers) and Sentiment Analysis and Opinion Mining (18 papers). Rui Mao is often cited by papers focused on Topic Modeling (30 papers), Natural Language Processing Techniques (24 papers) and Sentiment Analysis and Opinion Mining (18 papers). Rui Mao collaborates with scholars based in Singapore, China and United Kingdom. Rui Mao's co-authors include Erik Cambria, Kai He, Chenghua Lin, Frank Guérin, Wei Li, Qika Lin, Qian Liu, Xiao Li, Chen Li and Tieliang Gong and has published in prestigious journals such as Journal of Medicinal Chemistry, Cerebral Cortex and Expert Systems with Applications.

In The Last Decade

Rui Mao

92 papers receiving 1.6k 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.

The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection

2022 148 citations Rui Mao, Qian Liu et al. IEEE Transactions on Affective Computing profile →
A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics

2025 41 citations Kai He, Rui Mao et al. Information Fusion profile →

Peers

Countries citing papers authored by Rui Mao

Since Specialization

Citations

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

Fields of papers citing papers by Rui Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Mao. A scholar is included among the top collaborators of Rui Mao 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 Rui Mao. Rui Mao 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

#	Title	Journal	Authors	Indexed citations
1	FinMR: A Knowledge-Intensive Multimodal Benchmark for Advanced Financial Reasoning	ResearchSpace (University of Auckland)	Rui Mao, Jiamou Liu et al.	0
2	Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis	IEEE Transactions on Affective Computing	Luwei Xiao, Rui Mao et al.	4
3	TAKECare: A temporal-hierarchical framework with knowledge fusion for personalized clinical predictive modeling	Information Fusion	Jialun Wu, Mei Xin et al.	0
4	Medical Report Generation via Multimodal Spatio-Temporal Fusion		Rui Mao, Xiaoyan Cai et al.	6
5	Natural language processing in finance: A survey	Information Fusion	Yuanyuan Zhao, Rui Mao et al.	12
6	A survey on semantic processing techniques	Information Fusion	Rui Mao, Kai He et al.	24
7	MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare	Information Fusion	Jialun Wu, Kai He et al.	27
8	A survey on computational metaphor processing techniques: from identification, interpretation, generation to application	Artificial Intelligence Review	Rui Mao, Erik Cambria et al.	11
9	Determination of the role of hippocampal astrocytes in the bilateral common carotid artery stenosis mouse model by RNA sequencing	Neuroscience Letters	Jiangnan Li, Xinxin Zou et al.	4
10	SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition	Proceedings of the AAAI Conference on Artificial Intelligence	Wei Li, Luyao Zhu et al.	49
11	Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning	IEEE Transactions on Neural Networks and Learning Systems	Kai He, Rui Mao et al.	17
12	PAED: Zero-Shot Persona Attribute Extraction in Dialogues		Luyao Zhu, Wei Li et al.	18
13	Semantic matching in machine reading comprehension: An empirical study	Information Processing & Management	Qian Liu, Rui Mao et al.	24
14	Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis	IEEE Transactions on Affective Computing	Kai He, Rui Mao et al.	67
15	Virtual prompt pre-training for prototype-based few-shot relation extraction	Expert Systems with Applications	Kai He, Rui Mao et al.	46
16	The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection breakdown →	IEEE Transactions on Affective Computing	Rui Mao, Qian Liu et al.	148
17	LMNNB: Two-in-One imbalanced classification approach by combining metric learning and ensemble learning	Applied Intelligence	Shaojie Qiao, Nan Han et al.	7
18	A novel handover detection model via frequent trajectory patterns mining	International Journal of Machine Learning and Cybernetics	Shaojie Qiao, Guan Yuan et al.	3
19	SOTB: Semi-Supervised Oversampling Approach Based on Trigonal Barycenter Theory	IEEE Access	Shaojie Qiao, Tao Wu et al.	4
20	An Analysis of Some Problems on the Studies of "Left Behind Children"		Rui Mao	2

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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