Emily Sheng

804 total citations
10 papers, 420 citations indexed

About

Emily Sheng is a scholar working on Artificial Intelligence, Law and Communication. According to data from OpenAlex, Emily Sheng has authored 10 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Law and 1 paper in Communication. Recurrent topics in Emily Sheng's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Hate Speech and Cyberbullying Detection (4 papers). Emily Sheng is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Hate Speech and Cyberbullying Detection (4 papers). Emily Sheng collaborates with scholars based in United States and United Kingdom. Emily Sheng's co-authors include Nanyun Peng, Kai-Wei Chang, Prem Natarajan, Ji‐In Kim, Sunipa Dev, Gully Burns, Jiao Sun, Jieyu Zhao, Yu Hou and Stephen J. Aguilar and has published in prestigious journals such as .

In The Last Decade

Emily Sheng

8 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emily Sheng United States	6	355	56	38	34	33	10	420
Kellie Webster United States	7	255 0.7×	31 0.6×	50 1.3×	17 0.5×	22 0.7×	11	328
Shrimai Prabhumoye United States	7	274 0.8×	48 0.9×	18 0.5×	16 0.5×	28 0.8×	10	346
Hila Gonen United States	9	307 0.9×	38 0.7×	20 0.5×	23 0.7×	22 0.7×	21	357
Annette Hautli-Janisz Germany	9	227 0.6×	48 0.9×	21 0.6×	11 0.3×	26 0.8×	40	346
Maheen Farooqi Canada	3	211 0.6×	24 0.4×	66 1.7×	41 1.2×	18 0.5×	5	323
Anna Rogers United States	11	299 0.8×	67 1.2×	14 0.4×	15 0.4×	26 0.8×	23	370
Simone Conia Italy	10	270 0.8×	35 0.6×	21 0.6×	8 0.2×	14 0.4×	25	352
Su Lin Blodgett United States	8	166 0.5×	14 0.3×	51 1.3×	14 0.4×	22 0.7×	23	230
Ilia Sucholutsky Canada	8	103 0.3×	21 0.4×	13 0.3×	12 0.4×	15 0.5×	16	219
Jonathan Stray United States	6	78 0.2×	50 0.9×	49 1.3×	15 0.4×	24 0.7×	11	251

Countries citing papers authored by Emily Sheng

Since Specialization

Citations

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

Fields of papers citing papers by Emily Sheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Sheng

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

All Works

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10 of 10 papers shown

1.

Reed, Seann, et al.. (2025). Taxonomizing Representational Harms using Speech Act Theory. 3907–3932.

2.

Eck, Matthias, et al.. (2023). A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter. 108–120.

3.

Blodgett, Su Lin, et al.. (2023). FairPrism: Evaluating Fairness-Related Harms in Text Generation. 6231–6251. 5 indexed citations

4.

Dev, Sunipa, Emily Sheng, Jieyu Zhao, et al.. (2022). On Measures of Biases and Harms in NLP. 246–267. 29 indexed citations

5.

Sheng, Emily, Kai-Wei Chang, Prem Natarajan, & Nanyun Peng. (2021). Societal Biases in Language Generation: Progress and Challenges. 4275–4293. 81 indexed citations

6.

Sheng, Emily, Kai-Wei Chang, Prem Natarajan, & Nanyun Peng. (2021). “Nice Try, Kiddo”: Investigating Ad Hominems in Dialogue Responses. 750–767. 26 indexed citations

7.

Sheng, Emily, Kai-Wei Chang, Prem Natarajan, & Nanyun Peng. (2020). Towards Controllable Biases in Language Generation. 3239–3254. 52 indexed citations

8.

Sheng, Emily, Kai-Wei Chang, Prem Natarajan, & Nanyun Peng. (2019). The Woman Worked as a Babysitter: On Biases in Language Generation. 3405–3410. 214 indexed citations

9.

Gordon, Jonathan, Stephen J. Aguilar, Emily Sheng, & Gully Burns. (2017). Structured Generation of Technical Reading Lists. 261–270. 12 indexed citations

10.

Sheng, Emily, Prem Natarajan, Jonathan Gordon, & Gully Burns. (2017). An Investigation into the Pedagogical Features of Documents. 109–120. 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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