Liang Yang

2.8k total citations · 2 hit papers
96 papers, 1.7k citations indexed

About

Liang Yang is a scholar working on Artificial Intelligence, Social Psychology and Information Systems. According to data from OpenAlex, Liang Yang has authored 96 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 19 papers in Social Psychology and 17 papers in Information Systems. Recurrent topics in Liang Yang's work include Topic Modeling (34 papers), Sentiment Analysis and Opinion Mining (27 papers) and Advanced Text Analysis Techniques (18 papers). Liang Yang is often cited by papers focused on Topic Modeling (34 papers), Sentiment Analysis and Opinion Mining (27 papers) and Advanced Text Analysis Techniques (18 papers). Liang Yang collaborates with scholars based in China, United States and India. Liang Yang's co-authors include Hongfei Lin, Bo Xu, Bo Xu, Yufeng Diao, Kan Xu, Xiaochao Fan, Shaowu Zhang, Zhihao Yang, Yijia Zhang and Yuan Lin and has published in prestigious journals such as Food Chemistry, IEEE Access and BMC Bioinformatics.

In The Last Decade

Liang Yang

89 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.

Detection of Depression-Related Posts in Reddit Social Media Forum

2019 253 citations Hongfei Lin, Bo Xu et al. IEEE Access profile →
Machine learning-enhanced flavoromics: Identifying key aroma compounds and predicting sensory quality in sauce-flavor baijiu

2025 19 citations Shuai Li, Li Wang et al. Food Chemistry profile →

Peers

Countries citing papers authored by Liang Yang

Since Specialization

Citations

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

Fields of papers citing papers by Liang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Yang

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

#	Work	Indexed citations
1	Machine learning-enhanced flavoromics: Identifying key aroma compounds and predicting sensory quality in sauce-flavor baijiu breakdown → 2025 ·Food Chemistry ·Shuai Li, (unknown), Li Wang, Ya Zhang, Fan Wang, (unknown), (unknown), Liang Yang, Shuyi Qiu, Jun Lu	19
2	Intuition meets analytics: Reasoning implicit aspect-based sentiment quadruplets with a dual-system framework 2025 ·Knowledge-Based Systems ·(unknown), (unknown), (unknown), (unknown), (unknown), Liang Yang, Hongfei Lin	0
3	LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection 2024 ·Shiyi Li, Yike Wang, Liang Yang, Shaowu Zhang, Hongfei Lin	0
4	PclGPT: A Large Language Model for Patronizing and Condescending Language Detection 2024 ·Hongbo Wang, (unknown), (unknown), (unknown), Liang Yang, Bo Xu, (unknown), Hongfei Lin	1
5	Temporal Network Embedding Enhanced With Long-Range Dynamics and Self-Supervised Learning 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), (unknown), Zhihao Yang, Liang Yang, Hongfei Lin	0
6	Peeling Back the Layers: Interpreting the Storytelling of ViT 2024 ·(unknown), Zhihao Yang, (unknown), Liang Yang, Hongfei Lin	1
7	Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction 2023 ·(unknown), Ximing Li, Liang Yang, (unknown), Bo Xu, Hongfei Lin	7
8	Finding hate speech with auxiliary emotion detection from self-training multi-label learning perspective 2023 ·Information Fusion ·(unknown), (unknown), Ximing Li, He Zhao, (unknown), Liang Yang, Bo Xu	22
9	Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation 2023 ·IEEE Transactions on Knowledge and Data Engineering ·Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin	22
10	Cognitive Knowledge-aware Social Recommendation via Group-enhanced Ranking Model 2022 ·Cognitive Computation ·Bo Xu, Hongfei Lin, Liang Yang, Yuan Lin, Kan Xu	4
11	Emotion-Based Reinforcement Attention Network for Depression Detection on Social Media: Algorithm Development and Validation 2022 ·JMIR Medical Informatics ·(unknown), Jian Wang, Hongfei Lin, Yijia Zhang, Liang Yang, Bo Xu	18
12	Depression Detection on Reddit With an Emotion-Based Attention Network: Algorithm Development and Validation 2021 ·JMIR Medical Informatics ·(unknown), Hongfei Lin, Bo Xu, Shaowu Zhang, Liang Yang, Shichang Sun	44
13	Multi-Element Hierarchical Attention Capsule Network for Stock Prediction 2020 ·IEEE Access ·(unknown), Hongfei Lin, Liang Yang, Bo Xu, (unknown)	18
14	Sarcasm Detection with Sentiment Semantics Enhanced Multi-level Memory Network 2020 ·Neurocomputing ·(unknown), Bo Xu, Hongfei Lin, Xikai Liu, Liang Yang	59
15	Detection of Depression-Related Posts in Reddit Social Media Forum breakdown → 2019 ·IEEE Access ·(unknown), Hongfei Lin, Bo Xu, Liang Yang	253
16	Extracting Emotion Causes Using Learning to Rank Methods From an Information Retrieval Perspective 2019 ·IEEE Access ·Bo Xu, Hongfei Lin, Yuan Lin, Yufeng Diao, Liang Yang, Kan Xu	43
17	Discriminative globality-locality preserving extreme learning machine for image classification 2019 ·Neurocomputing ·Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Dongyu Zhang, Shaowu Zhang, Xiaochao Fan, Chen Shen, Bo Xu, (unknown)	9
18	Improving Pseudo-Relevance Feedback With Neural Network-Based Word Representations 2018 ·IEEE Access ·Bo Xu, Hongfei Lin, Yuan Lin, Liang Yang, Kan Xu	7
19	Personality Predictions Based on User Behavior on the Facebook Social Media Platform 2018 ·IEEE Access ·(unknown), Hongfei Lin, Bo Xu, Liang Yang	122
20	Improve Biomedical Information Retrieval Using Modified Learning to Rank Methods 2016 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Bo Xu, Hongfei Lin, Yuan Lin, (unknown), Liang Yang, Jian Wang, Zhihao Yang	13

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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