Yufeng Diao

472 total citations
25 papers, 292 citations indexed

About

Yufeng Diao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Yufeng Diao has authored 25 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Social Psychology. Recurrent topics in Yufeng Diao's work include Sentiment Analysis and Opinion Mining (8 papers), Topic Modeling (8 papers) and Machine Learning and ELM (6 papers). Yufeng Diao is often cited by papers focused on Sentiment Analysis and Opinion Mining (8 papers), Topic Modeling (8 papers) and Machine Learning and ELM (6 papers). Yufeng Diao collaborates with scholars based in China and United Kingdom. Yufeng Diao's co-authors include Hongfei Lin, Liang Yang, Xiaochao Fan, Yonghe Chu, Kan Xu, Chen Shen, Bo Xu, Yuan Lin, Dongyu Zhang and Dongyu Zhang and has published in prestigious journals such as IEEE Access, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Yufeng Diao

24 papers receiving 284 citations

Peers

Yufeng Diao

AI

CVPR

SP

MT

IS

Yonghe Chu China

Kristína Machová Slovakia

Shaowu Zhang China

Annette Rios Switzerland

Pamela McCauley United States

Yinglin Yu China

Tongtao Zhang United States

Daqian Shi China

Mumit Khan Bangladesh

Noa García Japan

Yonghe Chu China

Yufeng Diao

181 ×0.8

AI

73 ×1.2

CVPR

21 ×0.5

SP

70 ×1.8

MT

21 ×0.6

IS

Citations per year, relative to Yufeng Diao Yufeng Diao (= 1×) peers Yonghe Chu

Countries citing papers authored by Yufeng Diao

Since Specialization

Citations

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

Fields of papers citing papers by Yufeng Diao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yufeng Diao

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

Diao, Yufeng, et al.. (2024). TAGIC: Task-Guided Image Communication Framework for Seamless Teleoperation. Research Explorer (The University of Manchester). 1–2. 2 indexed citations

2.

Fan, Xiaochao, et al.. (2024). A Response Generation Framework Based on Empathy Factors, Common Sense, and Persona. IEEE Access. 12. 26819–26829.

3.

Chu, Yonghe, et al.. (2023). Refined SBERT: Representing sentence BERT in manifold space. Neurocomputing. 555. 126453–126453. 8 indexed citations

4.

Zhang, Xiaokun, et al.. (2021). Dual Part-pooling Attentive Networks for Session-based Recommendation. Neurocomputing. 440. 89–100. 10 indexed citations

5.

Chu, Yonghe, Hongfei Lin, Liang Yang, et al.. (2021). Hyperspectral image classification with discriminative manifold broad learning system. Neurocomputing. 442. 236–248. 19 indexed citations

6.

Diao, Yufeng, Hongfei Lin, Liang Yang, et al.. (2020). CRHASum: extractive text summarization with contextualized-representation hierarchical-attention summarization network. Neural Computing and Applications. 32(15). 11491–11503. 32 indexed citations

7.

Diao, Yufeng, et al.. (2020). Homographic pun location using multi-dimensional semantic relationships. Soft Computing. 24(16). 12163–12173. 4 indexed citations

8.

Diao, Yufeng, Hongfei Lin, Liang Yang, et al.. (2020). A Multi-Dimension Question Answering Network for Sarcasm Detection. IEEE Access. 8. 135152–135161. 19 indexed citations

9.

Chu, Yonghe, Hongfei Lin, Liang Yang, et al.. (2020). Fuzzy ELM for classification based on feature space. Multimedia Tools and Applications. 79(37-38). 27439–27464. 1 indexed citations

10.

Chu, Yonghe, Hongfei Lin, Liang Yang, et al.. (2020). Hyperspectral image classification based on discriminative locality preserving broad learning system. Knowledge-Based Systems. 206. 106319–106319. 37 indexed citations

11.

Diao, Yufeng, Hongfei Lin, Liang Yang, et al.. (2020). Emotion cause detection with enhanced-representation attention convolutional-context network. Soft Computing. 25(2). 1297–1307. 9 indexed citations

12.

Xu, Bo, Hongfei Lin, Yuan Lin, et al.. (2019). Extracting Emotion Causes Using Learning to Rank Methods From an Information Retrieval Perspective. IEEE Access. 7. 15573–15583. 43 indexed citations

13.

Chu, Yonghe, Hongfei Lin, Liang Yang, et al.. (2019). Discriminative globality-locality preserving extreme learning machine for image classification. Neurocomputing. 387. 13–21. 9 indexed citations

14.

Diao, Yufeng, et al.. (2019). CRGA: Homographic pun detection with a contextualized-representation. Knowledge-Based Systems. 195. 105056–105056. 3 indexed citations

15.

Diao, Yufeng, Hongfei Lin, Liang Yang, et al.. (2019). Heterographic Pun Recognition via Pronunciation and Spelling Understanding Gated Attention Network. 363–371. 8 indexed citations

16.

Chu, Yonghe, Hongfei Lin, Liang Yang, et al.. (2019). Refining Word Representations by Manifold Learning. 5394–5400. 7 indexed citations

17.

Diao, Yufeng, Hongfei Lin, Liang Yang, et al.. (2019). FBSN: A hybrid fine-grained neural network for biomedical event trigger identification. Neurocomputing. 381. 105–112. 9 indexed citations

18.

Fan, Xiaochao, Hongfei Lin, Yufeng Diao, & Yanbo Zou. (2019). An Integrated Biomedical Event Trigger Identification Approach With a Neural Network and Weighted Extreme Learning Machine. IEEE Access. 7. 83713–83720. 3 indexed citations

19.

Diao, Yufeng, Hongfei Lin, Liang Yang, et al.. (2019). Multi-granularity bidirectional attention stream machine comprehension method for emotion cause extraction. Neural Computing and Applications. 32(12). 8401–8413. 7 indexed citations

20.

Zhang, Chunsheng & Yufeng Diao. (2015). Conditional functional dependency discovery and data repair based on decision tree. 40. 864–868. 3 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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