Shi Feng

2.6k total citations
81 papers, 1.1k citations indexed

About

Shi Feng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shi Feng has authored 81 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 16 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shi Feng's work include Topic Modeling (32 papers), Sentiment Analysis and Opinion Mining (26 papers) and Text and Document Classification Technologies (15 papers). Shi Feng is often cited by papers focused on Topic Modeling (32 papers), Sentiment Analysis and Opinion Mining (26 papers) and Text and Document Classification Technologies (15 papers). Shi Feng collaborates with scholars based in China, United States and Australia. Shi Feng's co-authors include Daling Wang, Yifei Zhang, Gábor Karsai, Aditya Agrawal, Xiaocui Yang, Ge Yu, Jonathan Sprinkle, Yifei Zhang, Wei Gao and Kaisong Song and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based Systems.

In The Last Decade

Shi Feng

68 papers receiving 1.0k citations

Peers

Shi Feng
Ioannis Konstas United Kingdom
Vincent Ng United States
Lili Mou China
Hana Chockler Israel
Raúl Lara-Cabrera Spain
Shaohan Huang China
Chris Quirk United States
Vlado Kešelj Canada
Zhe Zhao China
Ioannis Konstas United Kingdom
Shi Feng
Citations per year, relative to Shi Feng Shi Feng (= 1×) peers Ioannis Konstas

Countries citing papers authored by Shi Feng

Since Specialization
Citations

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

Fields of papers citing papers by Shi Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Feng. A scholar is included among the top collaborators of Shi Feng 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 Shi Feng. Shi Feng 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.
2.
Feng, Shi, et al.. (2025). MM-InstructEval: Zero-shot evaluation of (Multimodal) Large Language Models on multimodal reasoning tasks. Information Fusion. 122. 103204–103204. 5 indexed citations
3.
Wang, Daling, et al.. (2025). EKBSA: A Chinese Sentiment Analysis Model by Enhancing K-BERT. Journal of Computer Science and Technology. 40(1). 60–72.
4.
Feng, Shi, et al.. (2024). ECAPA-TDNN Embeddings for Speaker Recognition. 1488–1491.
5.
Peng, Jinjia, et al.. (2023). Distribution-based Learnable Filters with Side Information for Sequential Recommendation. 78–88. 6 indexed citations
6.
Zhu, Ying, et al.. (2023). A Knowledge-Enhanced Hierarchical Reinforcement Learning-Based Dialogue System for Automatic Disease Diagnosis. Electronics. 12(24). 4896–4896. 1 indexed citations
7.
Feng, Shi, et al.. (2023). Deep transition network with gating mechanism for multivariate time series forecasting. Applied Intelligence. 53(20). 24346–24359. 2 indexed citations
8.
Liu, Yanbei, Henan Li, Changqing Zhang, et al.. (2022). Diagnosis of COVID-19 by using structural attention graph neural network. Journal of Image and Graphics. 27(3). 750–761.
9.
Feng, Shi & Jordan Boyd‐Graber. (2022). Learning to Explain Selectively: A Case Study on Question Answering. 8372–8382. 3 indexed citations
10.
Li, Qian, Daling Wang, Shi Feng, et al.. (2022). OERL: Enhanced Representation Learning via Open Knowledge Graphs. IEEE Transactions on Knowledge and Data Engineering. 35(9). 8880–8892. 7 indexed citations
11.
Yang, Xiaocui, Shi Feng, Yifei Zhang, & Daling Wang. (2021). Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks. 328–339. 71 indexed citations
12.
Li, Qian, Daling Wang, Shi Feng, Cheng Niu, & Yifei Zhang. (2021). Global Graph Attention Embedding Network for Relation Prediction in Knowledge Graphs. IEEE Transactions on Neural Networks and Learning Systems. 33(11). 6712–6725. 31 indexed citations
13.
Wallace, Eric, et al.. (2019). Universal Adversarial Triggers for NLP.. arXiv (Cornell University). 7 indexed citations
14.
Feng, Shi, Shujie Liu, Nan Yang, et al.. (2016). Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation. International Conference on Computational Linguistics. 3082–3092. 15 indexed citations
15.
Ştefănescu, Dan, et al.. (2014). Automatic assessment of student reading comprehension from short summaries. Educational Data Mining. 333–334. 3 indexed citations
16.
Feng, Shi, Zhiqiang Cai, Scott A. Crossley, & Danielle S. McNamara. (2011). Simulating human ratings on word concreteness. The Florida AI Research Society. 245–250. 9 indexed citations
17.
Feng, Shi, et al.. (2011). A novel approach for clustering sentiments in Chinese blogs based on graph similarity. Computers & Mathematics with Applications. 62(7). 2770–2778. 10 indexed citations
18.
Feng, Shi. (2009). A taxi service network equilibrium model with the influenced of demand distribution. Journal of Railway Science and Engineering. 1 indexed citations
19.
Feng, Shi. (2009). The Statistical Analysis on Monosyllabic Tone of Xi'an Dialect. 2 indexed citations
20.
Feng, Shi. (2008). Optimization model of planning variable-message board location for parking guidance information system. Journal of Dalian Maritime University. 1 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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