Yiding Hao

939 total citations
13 papers, 77 citations indexed

About

Yiding Hao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Experimental and Cognitive Psychology. According to data from OpenAlex, Yiding Hao has authored 13 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Yiding Hao's work include Natural Language Processing Techniques (6 papers), Phonetics and Phonology Research (4 papers) and semigroups and automata theory (3 papers). Yiding Hao is often cited by papers focused on Natural Language Processing Techniques (6 papers), Phonetics and Phonology Research (4 papers) and semigroups and automata theory (3 papers). Yiding Hao collaborates with scholars based in United States. Yiding Hao's co-authors include Robert Frank, Rachel Sterneck, Dana Angluin and William Merrill and has published in prestigious journals such as SHILAP Revista de lepidopterología, Transactions of the Association for Computational Linguistics and UA Campus Repository (The University of Arizona).

In The Last Decade

Yiding Hao

11 papers receiving 74 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yiding Hao United States	5	67	17	14	6	6	13	77
Benjamin Inden Germany	6	49 0.7×	13 0.8×	6 0.4×	10 1.7×	5 0.8×	17	73
Jaap Jumelet Netherlands	4	46 0.7×	7 0.4×	11 0.8×	7 1.2×	3 0.5×	10	58
Kim Gerdes France	5	67 1.0×	16 0.9×	4 0.3×	3 0.5×	27 4.5×	18	85
Amélie Cordier France	5	42 0.6×	4 0.2×	9 0.6×	6 1.0×		12	60
Rachel Bawden France	4	70 1.0×	19 1.1×	5 0.4×	16 2.7×	22 3.7×	13	103
Gianluca Giorgolo United Kingdom	5	62 0.9×	18 1.1×	6 0.4×	2 0.3×	34 5.7×	16	79
Kevin McMullin Canada	5	62 0.9×	43 2.5×	6 0.4×		14 2.3×	13	74
Danielle Macbeth United States	9	31 0.5×	63 3.7×	16 1.1×	5 0.8×	6 1.0×	25	146
Lisa Beinborn Germany	8	124 1.9×	8 0.5×	21 1.5×	9 1.5×	8 1.3×	21	142
Emma Barker United Kingdom	7	56 0.8×	5 0.3×	9 0.6×	9 1.5×	3 0.5×	14	75

Countries citing papers authored by Yiding Hao

Since Specialization

Citations

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

Fields of papers citing papers by Yiding Hao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiding Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Yiding Hao. A scholar is included among the top collaborators of Yiding Hao 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 Yiding Hao. Yiding Hao 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:

13 of 13 papers shown

1.

Hao, Yiding, Dana Angluin, & Robert Frank. (2022). Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity. Transactions of the Association for Computational Linguistics. 10. 800–810. 12 indexed citations

2.

Hao, Yiding, et al.. (2020). Rhythmic Syncope in Subregular Phonology. ScholarlyCommons (University of Pennsylvania).

3.

Hao, Yiding, et al.. (2020). Computing Vowel Harmony: The Generative Capacity of Search & Copy. Proceedings of the Annual Meetings on Phonology. 8. 3 indexed citations

4.

Hao, Yiding. (2020). Evaluating Attribution Methods using White-Box LSTMs. 300–313. 3 indexed citations

5.

Hao, Yiding. (2020). Metrical Grids and Generalized Tier Projection. Scholarworks (University of Massachusetts Amherst). 3(1). 261–271. 2 indexed citations

6.

Hao, Yiding, et al.. (2020). Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling. 75–86. 32 indexed citations

7.

Merrill, William, et al.. (2019). Finding Hierarchical Structure in Neural Stacks Using Unsupervised Parsing. 224–232. 1 indexed citations

8.

Hao, Yiding, et al.. (2019). Unbounded Stress in Subregular Phonology. 135–143. 7 indexed citations

9.

Hao, Yiding. (2019). Finite-state Optimality Theory: non-rationality of Harmonic Serialism. SHILAP Revista de lepidopterología. 7(2). 5 indexed citations

10.

Hao, Yiding. (2019). Learnability and Overgeneration in Computational Syntax. University of Massachusetts (UMass) Amherst. 2(1). 124–134.

11.

Hao, Yiding, et al.. (2019). Action-Sensitive Phonological Dependencies. UA Campus Repository (The University of Arizona). 218–228. 3 indexed citations

12.

Hao, Yiding, et al.. (2018). Context-Free Transductions with Neural Stacks. 306–315. 7 indexed citations

13.

Hao, Yiding. (2017). Harmonic Serialism and Finite-State Optimality Theory. 20–29. 2 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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