Daisy Yi Ding

5.3k total citations
7 papers, 270 citations indexed

About

Daisy Yi Ding is a scholar working on Artificial Intelligence, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Daisy Yi Ding has authored 7 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Daisy Yi Ding's work include Machine Learning in Healthcare (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Daisy Yi Ding is often cited by papers focused on Machine Learning in Healthcare (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Daisy Yi Ding collaborates with scholars based in United States, United Kingdom and Türkiye. Daisy Yi Ding's co-authors include Yuhao Zhang, Curtis P. Langlotz, Christopher D. Manning, Alejandro Schuler, Tony Duan, Anand Avati, Andrew Y. Ng, Khanh K. Thai, Sanjay Basu and Robert Tibshirani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and npj Digital Medicine.

In The Last Decade

Daisy Yi Ding

7 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daisy Yi Ding United States	5	144	66	38	28	16	7	270
Xiang Wan China	9	188 1.3×	36 0.5×	32 0.8×	22 0.8×	10 0.6×	34	315
Milad Moradi Austria	11	274 1.9×	76 1.2×	40 1.1×	12 0.4×	6 0.4×	17	371
Bouchra El Asri Morocco	6	125 0.9×	29 0.4×	10 0.3×	13 0.5×	6 0.4×	62	215
N. Jeremi Duru Türkiye	8	72 0.5×	15 0.2×	22 0.6×	20 0.7×	21 1.3×	54	244
Zahra Sadeghi Iran	7	105 0.7×	7 0.1×	51 1.3×	36 1.3×	4 0.3×	29	349
Dimitrios P. Panagoulias Greece	9	71 0.5×	14 0.2×	39 1.0×	12 0.4×	20 1.3×	30	190
Rishabh Kapoor United States	8	141 1.0×	54 0.8×	10 0.3×	84 3.0×	3 0.2×	29	263
Shubham Sharma India	8	155 1.1×	57 0.9×	8 0.2×	55 2.0×	17 1.1×	33	331
Shanmugam Sundaramurthy India	5	112 0.8×	6 0.1×	42 1.1×	31 1.1×	11 0.7×	9	228
Oskar Wysocki United Kingdom	7	48 0.3×	36 0.5×	34 0.9×	14 0.5×	6 0.4×	24	197

Countries citing papers authored by Daisy Yi Ding

Since Specialization

Citations

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

Fields of papers citing papers by Daisy Yi Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisy Yi Ding

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

7 of 7 papers shown

1.

Ding, Daisy Yi, et al.. (2025). Quantitative characterization of tissue states using multiomics and ecological spatial analysis. Nature Genetics. 57(4). 910–921. 1 indexed citations

2.

Liang, Weixin, Hancheng Cao, Daisy Yi Ding, et al.. (2024). Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis. NEJM AI. 1(8). 70 indexed citations

3.

Ding, Daisy Yi, M. Çakmak, Christoph Sadée, et al.. (2024). Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study. npj Digital Medicine. 7(1). 117–117. 2 indexed citations

4.

Ding, Daisy Yi, et al.. (2022). Cooperative learning for multiview analysis. Proceedings of the National Academy of Sciences. 119(38). e2202113119–e2202113119. 35 indexed citations

5.

Duan, Tony, Anand Avati, Daisy Yi Ding, et al.. (2020). NGBoost: Natural Gradient Boosting for Probabilistic Prediction. International Conference on Machine Learning. 1. 2690–2700. 69 indexed citations

6.

Ding, Daisy Yi, et al.. (2018). The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data. PubMed. 24. 18–29. 13 indexed citations

7.

Zhang, Yuhao, et al.. (2018). Learning to Summarize Radiology Findings. 204–213. 80 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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