Ansong Ni

593 total citations
11 papers, 130 citations indexed

About

Ansong Ni is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ansong Ni has authored 11 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in Ansong Ni's work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Software Engineering Research (3 papers). Ansong Ni is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Software Engineering Research (3 papers). Ansong Ni collaborates with scholars based in United States, United Kingdom and Canada. Ansong Ni's co-authors include Ming Li, Dragomir Radev, Budhaditya Deb, Ahmed Hassan Awadallah, Chenguang Zhu, Ziming Mao, Ming Li, Pengcheng Yin, Yusen Zhang and Rui Zhang and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Ansong Ni

10 papers receiving 125 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ansong Ni United States	7	80	54	31	31	11	11	130
Laura Semini Italy	7	71 0.9×	52 1.0×	28 0.9×	20 0.6×	3 0.3×	28	119
Ratnadira Widyasari Singapore	6	45 0.6×	70 1.3×	30 1.0×	35 1.1×	3 0.3×	13	125
Iovka Boneva France	6	74 0.9×	22 0.4×	36 1.2×	8 0.3×	8 0.7×	14	91
Luca Massarelli Italy	4	37 0.5×	55 1.0×	23 0.7×	38 1.2×	3 0.3×	5	93
Jingxuan Zhang China	7	59 0.7×	99 1.8×	22 0.7×	19 0.6×	7 0.6×	13	136
Lukas Renggli Switzerland	6	62 0.8×	78 1.4×	52 1.7×	27 0.9×	6 0.5×	16	113
Parminder Bhatia United States	7	196 2.5×	39 0.7×	14 0.5×	19 0.6×	18 1.6×	28	232
Hugo Pacheco Portugal	8	69 0.9×	69 1.3×	36 1.2×	63 2.0×	5 0.5×	20	128
Thomas Degueule France	6	74 0.9×	87 1.6×	26 0.8×	93 3.0×	3 0.3×	11	129
Antti E. J. Hyvärinen Switzerland	5	26 0.3×	25 0.5×	27 0.9×	32 1.0×	3 0.3×	18	73

Countries citing papers authored by Ansong Ni

Since Specialization

Citations

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

Fields of papers citing papers by Ansong Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ansong Ni

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

All Works

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11 of 11 papers shown

Ni, Ansong, Pengcheng Yin, Yilun Zhao, et al.. (2024). L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. Transactions of the Association for Computational Linguistics. 12. 1311–1329. 6 indexed citations

Ni, Ansong, et al.. (2024). Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models. 14116–14137. 2 indexed citations

Liu, Yixin, Ansong Ni, Linyong Nan, et al.. (2022). Leveraging Locality in Abstractive Text Summarization. 6081–6093. 13 indexed citations

Mao, Ziming, Chen Wu, Ansong Ni, et al.. (2022). DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 18 indexed citations

Zhang, Yusen, Ansong Ni, Ziming Mao, et al.. (2022). SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 1592–1604. 24 indexed citations

Ni, Ansong, et al.. (2021). Replication of SOAR: A Synthesis Approach for Data Science API Refactoring. 190–191.

Ni, Ansong, Matt Gardner, & Pradeep Dasigi. (2021). Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6149–6161. 3 indexed citations

Ni, Ansong, et al.. (2021). SOAR: A Synthesis Approach for Data Science API Refactoring. 112–124. 13 indexed citations

Ni, Ansong, Pengcheng Yin, & Graham Neubig. (2020). Merging Weak and Active Supervision for Semantic Parsing. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8536–8543. 9 indexed citations

10.

Ni, Ansong & Ming Li. (2018). ACONA. 366–367. 7 indexed citations

11.

Ni, Ansong & Ming Li. (2017). Cost-Effective Build Outcome Prediction Using Cascaded Classifiers. 455–458. 35 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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