Geng Tu

601 total citations
21 papers, 408 citations indexed

About

Geng Tu is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Geng Tu has authored 21 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Experimental and Cognitive Psychology and 6 papers in Social Psychology. Recurrent topics in Geng Tu's work include Sentiment Analysis and Opinion Mining (15 papers), Emotion and Mood Recognition (11 papers) and Topic Modeling (6 papers). Geng Tu is often cited by papers focused on Sentiment Analysis and Opinion Mining (15 papers), Emotion and Mood Recognition (11 papers) and Topic Modeling (6 papers). Geng Tu collaborates with scholars based in China, Singapore and Hong Kong. Geng Tu's co-authors include Dazhi Jiang, Cheng Liu, Erik Cambria, Teng Zhou, Lin Zheng, Hao Liu, Dazhi Jiang, Akhil Garg, Liang Gao and Syed Hassan Ahmed and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.

In The Last Decade

Geng Tu

20 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geng Tu China 11 246 164 58 49 32 21 408
Tharindu Kaluarachchi New Zealand 5 164 0.7× 102 0.6× 54 0.9× 34 0.7× 43 1.3× 11 320
Shazia Afzal United Kingdom 9 155 0.6× 69 0.4× 49 0.8× 30 0.6× 24 0.8× 15 355
Jianhao Yang China 6 119 0.5× 140 0.9× 48 0.8× 36 0.7× 106 3.3× 12 377
Mahmoud Néji Tunisia 9 152 0.6× 49 0.3× 110 1.9× 25 0.5× 33 1.0× 50 387
Mirela Popa Netherlands 9 88 0.4× 101 0.6× 116 2.0× 19 0.4× 25 0.8× 33 336
Hussam Tarazi United States 8 107 0.4× 55 0.3× 66 1.1× 16 0.3× 17 0.5× 10 331
Suja Palaniswamy India 13 92 0.4× 157 1.0× 163 2.8× 25 0.5× 48 1.5× 63 432
Tianrong Rao Australia 8 183 0.7× 106 0.6× 283 4.9× 26 0.5× 38 1.2× 19 485
Alia Karim Abdul Hassan Iraq 9 115 0.5× 60 0.4× 101 1.7× 21 0.4× 16 0.5× 54 272
J. A. Rincon Spain 9 87 0.4× 50 0.3× 44 0.8× 57 1.2× 35 1.1× 36 261

Countries citing papers authored by Geng Tu

Since Specialization
Citations

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

Fields of papers citing papers by Geng Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geng Tu

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

All Works

20 of 20 papers shown
1.
Liu, Hao, et al.. (2025). Knowing What and Why: Causal emotion entailment for emotion recognition in conversations. Expert Systems with Applications. 274. 126924–126924. 2 indexed citations
2.
Tu, Geng, et al.. (2025). Meta-Learning for Incomplete Multimodal Sentiment Analysis. 2911–2915.
3.
Tu, Geng, et al.. (2024). Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations. Journal of Artificial Intelligence Research. 79. 825–863. 1 indexed citations
4.
Liang, Bin, et al.. (2024). What do they “meme”? A metaphor-aware multi-modal multi-task framework for fine-grained meme understanding. Knowledge-Based Systems. 294. 111778–111778. 7 indexed citations
5.
Jiang, Dazhi, et al.. (2024). Self-supervised utterance order prediction for emotion recognition in conversations. Neurocomputing. 577. 127370–127370. 6 indexed citations
7.
Liu, Hao, et al.. (2024). Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection. Information Fusion. 108. 102353–102353. 23 indexed citations
9.
Jiang, Dazhi, et al.. (2023). Window transformer for dialogue document: a joint framework for causal emotion entailment. International Journal of Machine Learning and Cybernetics. 14(8). 2697–2707. 6 indexed citations
10.
Tu, Geng, et al.. (2023). Learning More from Mixed Emotions: A Label Refinement Method for Emotion Recognition in Conversations. Transactions of the Association for Computational Linguistics. 11. 1485–1499. 3 indexed citations
11.
Jiang, Dazhi, et al.. (2023). CSAT-FTCN: A Fuzzy-Oriented Model with Contextual Self-attention Network for Multimodal Emotion Recognition. Cognitive Computation. 15(3). 1082–1091. 14 indexed citations
12.
Jiang, Dazhi, et al.. (2022). Dynamic interactive multiview memory network for emotion recognition in conversation. Information Fusion. 91. 123–133. 65 indexed citations
13.
Jiang, Dazhi, et al.. (2022). AutoML-Emo: Automatic Knowledge Selection Using Congruent Effect for Emotion Identification in Conversations. IEEE Transactions on Affective Computing. 14(3). 1845–1856. 15 indexed citations
14.
Tu, Geng, et al.. (2022). Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation. IEEE Transactions on Artificial Intelligence. 3(5). 699–708. 57 indexed citations
15.
Jiang, Dazhi, et al.. (2021). A framework for designing of genetic operators automatically based on gene expression programming and differential evolution. Natural Computing. 20(3). 395–411. 6 indexed citations
16.
Tu, Geng, et al.. (2021). Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models. Knowledge-Based Systems. 235. 107598–107598. 35 indexed citations
17.
Tu, Geng, et al.. (2020). Multimodality Sentiment Analysis in Social Internet of Things Based on Hierarchical Attentions and CSAT-TCN With MBM Network. IEEE Internet of Things Journal. 8(16). 12748–12757. 47 indexed citations
18.
Jiang, Dazhi, et al.. (2020). A hybrid intelligent model for acute hypotensive episode prediction with large-scale data. Information Sciences. 546. 787–802. 29 indexed citations
19.
Jiang, Dazhi, et al.. (2019). A probability and integrated learning based classification algorithm for high-level human emotion recognition problems. Measurement. 150. 107049–107049. 64 indexed citations
20.
Jia, Jing, et al.. (2018). Real‐time hand gestures system based on leap motion. Concurrency and Computation Practice and Experience. 31(10). 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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