Yuning Ding

479 total citations · 1 hit paper
10 papers, 212 citations indexed

About

Yuning Ding is a scholar working on Artificial Intelligence, Information Systems and Social Psychology. According to data from OpenAlex, Yuning Ding has authored 10 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Social Psychology. Recurrent topics in Yuning Ding's work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Text Readability and Simplification (4 papers). Yuning Ding is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Text Readability and Simplification (4 papers). Yuning Ding collaborates with scholars based in Germany, United States and Russia. Yuning Ding's co-authors include Elena Tutubalina, Gerardo Chowell, Ramya Tekumalla, Juan M. Banda, Jingyuan Yu, Tuo Liu, Ekaterina Artemova, Andrea Horbach, Torsten Zesch and Brian Riordan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Artificial Intelligence in Education and Universitätsbibliographie, Universität Duisburg-Essen.

In The Last Decade

Yuning Ding

9 papers receiving 203 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration

2021 166 citations Juan M. Banda, Ramya Tekumalla et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuning Ding Germany	5	128	109	36	34	24	10	212
Ekaterina Artemova Russia	6	170 1.3×	113 1.0×	28 0.8×	35 1.0×	24 1.0×	16	258
Ramya Tekumalla United States	5	102 0.8×	113 1.0×	27 0.8×	37 1.1×	24 1.0×	7	193
Mohammad Al-Ramahi United States	8	69 0.5×	112 1.0×	35 1.0×	19 0.6×	16 0.7×	36	248
Klaifer Garcia Brazil	3	151 1.2×	123 1.1×	33 0.9×	15 0.4×	12 0.5×	4	232
Xiaolei Huang United States	10	135 1.1×	57 0.5×	27 0.8×	23 0.7×	9 0.4×	24	275
Koyel Chakraborty India	4	271 2.1×	160 1.5×	102 2.8×	22 0.6×	14 0.6×	8	384
Umair Qazi Qatar	8	144 1.1×	129 1.2×	23 0.6×	57 1.7×	31 1.3×	11	280
Rakhi Batra Pakistan	7	236 1.8×	124 1.1×	71 2.0×	14 0.4×	11 0.5×	13	344
Rajesh Ittamalla India	9	81 0.6×	124 1.1×	23 0.6×	29 0.9×	26 1.1×	20	223
Yana Samuel United States	6	69 0.5×	54 0.5×	23 0.6×	10 0.3×	21 0.9×	8	156

Countries citing papers authored by Yuning Ding

Since Specialization

Citations

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

Fields of papers citing papers by Yuning Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuning Ding

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

10 of 10 papers shown

1.

Ding, Yuning, et al.. (2025). Don’t Score too Early! Evaluating Argument Mining Models on Incomplete Essays. 345–355.

2.

Ding, Yuning, et al.. (2023). CATALPA_EduNLP at PragTag-2023. 197–201. 1 indexed citations

3.

Horbach, Andrea, et al.. (2023). Crosslingual Content Scoring in Five Languages Using Machine-Translation and Multilingual Transformer Models. International Journal of Artificial Intelligence in Education. 34(4). 1294–1320. 4 indexed citations

4.

Ding, Yuning, et al.. (2023). Score It All Together: A Multi-Task Learning Study on Automatic Scoring of Argumentative Essays. 13052–13063. 2 indexed citations

5.

Ding, Yuning, et al.. (2022). Don’t Drop the Topic - The Role of the Prompt in Argument Identification in Student Writing. 124–133. 4 indexed citations

6.

Banda, Juan M., Ramya Tekumalla, Jingyuan Yu, et al.. (2021). A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration. SHILAP Revista de lepidopterología. 2(3). 315–324. 166 indexed citations breakdown →

7.

Ding, Yuning, Andrea Horbach, & Torsten Zesch. (2020). Chinese Content Scoring: Open-Access Datasets and Features on Different Segmentation Levels. 347–357. 3 indexed citations

8.

Ding, Yuning, Brian Riordan, Andrea Horbach, Aoife Cahill, & Torsten Zesch. (2020). Don’t take “nswvtnvakgxpm” for an answer –The surprising vulnerability of automatic content scoring systems to adversarial input. Universitätsbibliographie, Universität Duisburg-Essen. 14 indexed citations

9.

Horbach, Andrea, et al.. (2017). Fine-grained essay scoring of a complex writing task for native speakers. Universitätsbibliographie, Universität Duisburg-Essen. 357–366. 11 indexed citations

10.

Horbach, Andrea, Yuning Ding, & Torsten Zesch. (2017). The Influence of Spelling Errors on Content Scoring Performance. DuEPublico (University of Duisburg-Essen). 45–53. 7 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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