Song Feng

1.6k total citations
34 papers, 794 citations indexed

About

Song Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Song Feng has authored 34 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Song Feng's work include Topic Modeling (16 papers), Natural Language Processing Techniques (14 papers) and Speech and dialogue systems (5 papers). Song Feng is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (14 papers) and Speech and dialogue systems (5 papers). Song Feng collaborates with scholars based in United States and China. Song Feng's co-authors include Yejin Choi, Ritwik Banerjee, J. KANG, Fuwen Tan, Vicente Ordóñez, Luis Lastras, Полина Кузнецова, Sachindra Joshi, Chulaka Gunasekara and Vikas Ashok and has published in prestigious journals such as Scientific Reports, European Radiology and ISA Transactions.

In The Last Decade

Song Feng

31 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song Feng United States 15 521 290 178 100 81 34 794
Maunendra Sankar Desarkar India 12 313 0.6× 236 0.8× 115 0.6× 59 0.6× 64 0.8× 53 534
Kashfia Sailunaz Canada 9 342 0.7× 98 0.3× 86 0.5× 76 0.8× 39 0.5× 17 604
Manish Shrivastava India 18 893 1.7× 195 0.7× 37 0.2× 126 1.3× 78 1.0× 124 1.1k
Feyza Altunbey Özbay Türkiye 11 243 0.5× 249 0.9× 283 1.6× 70 0.7× 120 1.5× 26 549
Zhigang Yuan China 14 500 1.0× 119 0.4× 56 0.3× 28 0.3× 30 0.4× 26 615
Fredrik Johansson Sweden 13 251 0.5× 164 0.6× 205 1.2× 20 0.2× 49 0.6× 24 497
Yuki Arase Japan 11 378 0.7× 99 0.3× 118 0.7× 74 0.7× 59 0.7× 61 561
Tassawar Iqbal Pakistan 12 232 0.4× 177 0.6× 45 0.3× 128 1.3× 66 0.8× 31 519

Countries citing papers authored by Song Feng

Since Specialization
Citations

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

Fields of papers citing papers by Song Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Song Feng. A scholar is included among the top collaborators of Song 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 Song Feng. Song 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.
3.
Feng, Song, et al.. (2021). Does Structure Matter? Encoding Documents for Machine Reading Comprehension. 4626–4634. 4 indexed citations
4.
Wu, Xi, Ping Yan, Lixin Feng, et al.. (2020). Novel risk models to predict acute kidney disease and its outcomes in a Chinese hospitalized population with acute kidney injury. Scientific Reports. 10(1). 15636–15636. 26 indexed citations
5.
Feng, Song, et al.. (2020). doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset. 8118–8128. 57 indexed citations
6.
Yuan, Qiongjing, Haixia Zhang, Yanyun Xie, et al.. (2020). Development of prognostic model for patients at CKD stage 3a and 3b in South Central China using computational intelligence. Clinical and Experimental Nephrology. 24(10). 865–875. 8 indexed citations
7.
Wu, Xi, Qian Liu, Hongshen Wang, et al.. (2020). Post-contrast acute kidney injury in a hospitalized population: short-, mid-, and long-term outcome and risk factors for adverse events. European Radiology. 30(6). 3516–3527. 19 indexed citations
8.
Yang, Shichun, et al.. (2020). Research on Manipulator Trajectory Tracking Based on Adaptive Fuzzy Sliding Mode Control. 3086–3091. 2 indexed citations
9.
Kim, Najoung, Song Feng, Chulaka Gunasekara, & Luis Lastras. (2020). Implicit Discourse Relation Classification: We Need to Talk about Evaluation. 5404–5414. 18 indexed citations
10.
Yang, Shichun, et al.. (2019). Square-root unscented Kalman filter for ammonia coverage ratio and input ammonia estimations in diesel-engine urea-SCR system. ISA Transactions. 96. 299–308. 14 indexed citations
11.
Cascante-Bonilla, Paola, Xuwang Yin, Vicente Ordóñez, & Song Feng. (2019). Chat-crowd: A Dialog-based Platform for Visual Layout Composition. 138–142. 2 indexed citations
12.
Tan, Fuwen, Paola Cascante-Bonilla, Xiaoxiao Guo, et al.. (2019). Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries. arXiv (Cornell University). 32. 2647–2657. 8 indexed citations
13.
Welch, Charles, Jonathan K. Kummerfeld, Song Feng, & Rada Mihalcea. (2018). World Knowledge for Abstract Meaning Representation Parsing.. Language Resources and Evaluation. 1 indexed citations
14.
Tan, Fuwen, Song Feng, & Vicente Ordóñez. (2018). Text2Scene: Generating Abstract Scenes from Textual Descriptions.. arXiv (Cornell University). 6 indexed citations
15.
Wang, Yupei, Zunyue Zhang, Gui-Geng Liu, & Song Feng. (2016). Theoretical studies on the mechanisms of laser rust removal. Bulletin of the American Physical Society. 2016. 1 indexed citations
16.
Ashok, Vikas, Song Feng, & Yejin Choi. (2013). Success with Style: Using Writing Style to Predict the Success of Novels. 1753–1764. 48 indexed citations
17.
Feng, Song, J. KANG, Полина Кузнецова, & Yejin Choi. (2013). Connotation Lexicon: A Dash of Sentiment Beneath the Surface Meaning. Meeting of the Association for Computational Linguistics. 1774–1784. 67 indexed citations
18.
Feng, Song, Ritwik Banerjee, & Yejin Choi. (2012). Syntactic Stylometry for Deception Detection. Meeting of the Association for Computational Linguistics. 171–175. 262 indexed citations
19.
Feng, Song, Ritwik Banerjee, & Yejin Choi. (2012). Characterizing Stylistic Elements in Syntactic Structure. Empirical Methods in Natural Language Processing. 1522–1533. 18 indexed citations
20.
Feng, Song, et al.. (2011). Learning General Connotation of Words using Graph-based Algorithms. Empirical Methods in Natural Language Processing. 1092–1103. 20 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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