Da Kuang

2.1k total citations · 1 hit paper
25 papers, 1.0k citations indexed

About

Da Kuang is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Da Kuang has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Molecular Biology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Da Kuang's work include Genomics and Rare Diseases (4 papers), Complex Network Analysis Techniques (4 papers) and Genomics and Phylogenetic Studies (3 papers). Da Kuang is often cited by papers focused on Genomics and Rare Diseases (4 papers), Complex Network Analysis Techniques (4 papers) and Genomics and Phylogenetic Studies (3 papers). Da Kuang collaborates with scholars based in United States, Canada and China. Da Kuang's co-authors include Haesun Park, Chris Ding, Sangwoon Yun, Mayank Choudhary, Ross C. Hardison, Ting Wang, Jie Xu, Fan Song, Daofeng Li and Lijun Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Da Kuang

23 papers receiving 1.0k citations

Hit Papers

The 3D Genome Browser: a web-based browser for visualizin... 2018 2026 2020 2023 2018 100 200 300
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.

  1. The 3D Genome Browser: a web-based browser for visualizing 3D genome organization and long-range chromatin interactions
    2018 314 citations Yanli Wang, Fan Song et al. Genome biology profile →

Peers

Da Kuang
Caroline Uhler United States
Brian Wylie United States
Nicola Pezzotti Netherlands
Martin Crane Ireland
G. Soda Italy
Abubakar Abid United States
Pierre Dupont Belgium
Xin Zheng China
Yunfan Li China
Caroline Uhler United States
Da Kuang
Citations per year, relative to Da Kuang Da Kuang (= 1×) peers Caroline Uhler

Countries citing papers authored by Da Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Da Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Kuang

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

All Works

20 of 20 papers shown
1.
Kuang, Da, Megan Lancaster, Roujia Li, et al.. (2024). Benchmarking computational variant effect predictors by their ability to infer human traits. Genome biology. 25(1). 172–172. 12 indexed citations
2.
Wang, Qianxue, Da Kuang, & Simin Yu. (2024). Generating digital chaotic systems of the simplest structure via a strongly connected graph inverse approach. Chaos Solitons & Fractals. 189. 115655–115655. 1 indexed citations
3.
Kim, Hyun‐Bum, Quentin Brosseau, Jinhui Wang, et al.. (2024). Single cell phototransfection of mRNAs encoding SARS-CoV2 spike and nucleocapsid into human astrocytes results in RNA dependent translation interference. SHILAP Revista de lepidopterología. 4. 1359700–1359700. 1 indexed citations
4.
Kuang, Da, et al.. (2022). Learning Proteome Domain Folding Using LSTMs in an Empirical Kernel Space. Journal of Molecular Biology. 434(15). 167686–167686.
5.
Kuang, Da, Jochen Weile, Nishka Kishore, et al.. (2021). MaveRegistry: a collaboration platform for multiplexed assays of variant effect. Bioinformatics. 37(19). 3382–3383. 16 indexed citations
6.
Kim, Dae‐Kyum, Jennifer J. Knapp, Da Kuang, et al.. (2020). A Comprehensive, Flexible Collection of SARS-CoV-2 Coding Regions. G3 Genes Genomes Genetics. 10(9). 3399–3402. 31 indexed citations
7.
Kuang, Da, Rebecca Truty, Jochen Weile, et al.. (2020). Prioritizing genes for systematic variant effect mapping. Bioinformatics. 36(22-23). 5448–5455. 8 indexed citations
8.
Wang, Yanli, Fan Song, Bo Zhang, et al.. (2018). The 3D Genome Browser: A Web-Based Browser For Visualizing 3D Genome Organization And Long-Range Chromatin Interactions. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
9.
Wang, Yanli, Fan Song, Bo Zhang, et al.. (2018). The 3D Genome Browser: a web-based browser for visualizing 3D genome organization and long-range chromatin interactions. Genome biology. 19(1). 151–151. 314 indexed citations breakdown →
10.
Odlum, Michelle, et al.. (2018). How Twitter Can Support the HIV/AIDS Response to Achieve the 2030 Eradication Goal: In-Depth Thematic Analysis of World AIDS Day Tweets. JMIR Public Health and Surveillance. 4(4). e10262–e10262. 15 indexed citations
11.
Kuang, Da, et al.. (2017). Hierarchical community detection via rank-2 symmetric nonnegative matrix factorization. SHILAP Revista de lepidopterología. 4(1). 7–7. 11 indexed citations
12.
Kuang, Da, et al.. (2017). DC-NMF: nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling. Journal of Global Optimization. 68(4). 777–798. 24 indexed citations
13.
14.
Lu, Zhongming, et al.. (2015). Toward Social Media Opinion Mining for Sustainability Research. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4 indexed citations
15.
Kuang, Da, Alex Gittens, & Roszilah Hamid. (2015). Hardware compliant approximate image codes. 1. 924–932. 1 indexed citations
16.
Kuang, Da & Haesun Park. (2013). Fast rank-2 nonnegative matrix factorization for hierarchical document clustering. 739–747. 50 indexed citations
17.
Kuang, Da, Chris Ding, & Haesun Park. (2012). Symmetric Nonnegative Matrix Factorization for Graph Clustering. 106–117. 290 indexed citations
18.
Kuang, Da. (2012). A New Web Search Engine with Learning Hierarchy. Scholarship@Western (Western University).
19.
Kuang, Da, et al.. (2011). A new search engine integrating hierarchical browsing and keyword search. International Joint Conference on Artificial Intelligence. 2464–2469. 6 indexed citations
20.
Kuang, Da & Jinhua Zheng. (2005). Strategies Based on Polar Coordinates to Keep Diversity in Multi-Objective Genetic Algorithm. 2. 1276–1281. 4 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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