Alexander Ku

3.1k total citations · 1 hit paper
11 papers, 1.0k citations indexed

About

Alexander Ku is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Alexander Ku has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Alexander Ku's work include Multimodal Machine Learning Applications (6 papers), Speech and dialogue systems (3 papers) and Topic Modeling (3 papers). Alexander Ku is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Speech and dialogue systems (3 papers) and Topic Modeling (3 papers). Alexander Ku collaborates with scholars based in United States. Alexander Ku's co-authors include Scott Schwartz, David H. Alexander, Mark A. DePristo, Sam Gross, Pi-Chuan Chang, Nam V. Nguyen, Pegah Tootoonchi Afshar, Cory Y. McLean, Ryan Poplin and Thomas Colthurst and has published in prestigious journals such as Nature Biotechnology, Cognitive Science and arXiv (Cornell University).

In The Last Decade

Alexander Ku

11 papers receiving 995 citations

Hit Papers

A universal SNP and small-indel variant caller using deep... 2018 2026 2020 2023 2018 250 500 750
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. A universal SNP and small-indel variant caller using deep neural networks
    2018 757 citations Ryan Poplin, Pi-Chuan Chang et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Ku United States 7 504 306 258 239 146 11 1.0k
Yifei Chen China 9 678 1.3× 346 1.1× 158 0.6× 43 0.2× 123 0.8× 34 1.2k
Thomas Colthurst United States 7 511 1.0× 313 1.0× 365 1.4× 29 0.1× 147 1.0× 10 1.1k
Wenjie Shu China 21 1.2k 2.3× 141 0.5× 150 0.6× 57 0.2× 231 1.6× 52 1.7k
Sayed Mohammad Ebrahim Sahraeian United States 16 464 0.9× 149 0.5× 55 0.2× 275 1.2× 88 0.6× 32 975
Ritambhara Singh United States 16 1.6k 3.2× 184 0.6× 109 0.4× 29 0.1× 118 0.8× 47 1.9k
Gabriele Schweikert United Kingdom 14 799 1.6× 311 1.0× 108 0.4× 42 0.2× 43 0.3× 22 1.2k
Manuel Holtgrewe Germany 15 598 1.2× 344 1.1× 158 0.6× 25 0.1× 105 0.7× 37 927
Il‐Youp Kwak South Korea 15 419 0.8× 208 0.7× 95 0.4× 31 0.1× 90 0.6× 48 780
Nicole Rusk United States 14 610 1.2× 94 0.3× 63 0.2× 27 0.1× 99 0.7× 76 1.1k
Minghua Deng China 19 895 1.8× 89 0.3× 157 0.6× 49 0.2× 151 1.0× 49 1.2k

Countries citing papers authored by Alexander Ku

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Ku

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

All Works

11 of 11 papers shown
1.
Datta, Siddhartha, Alexander Ku, Deepak Ramachandran, & Peter Anderson. (2024). Prompt Expansion for Adaptive Text-to-Image Generation. 3449–3476. 2 indexed citations
2.
Cohen, Jonathan, Steven Frankland, T.R. Leyshon Griffiths, et al.. (2024). Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem. 113436–113460. 2 indexed citations
3.
Kamath, Aishwarya, Peter J. Anderson, Su Wang, et al.. (2023). A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning. 10813–10823. 20 indexed citations
4.
Zhao, Ming, Peter Anderson, Vihan Jain, et al.. (2021). On the Evaluation of Vision-and-Language Navigation Instructions. 1302–1316. 25 indexed citations
5.
Ku, Alexander, et al.. (2021). PanGEA: The Panoramic Graph Environment Annotation Toolkit. 29–33. 2 indexed citations
6.
Ku, Alexander, Peter Anderson, Roma Patel, Eugene Ie, & Jason Baldridge. (2020). Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding. 4392–4412. 128 indexed citations
7.
Jain, Vihan, et al.. (2019). Effective and General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping. arXiv (Cornell University). 12 indexed citations
8.
Ilharco, Gabriel, Vihan Jain, Alexander Ku, Eugene Ie, & Jason Baldridge. (2019). General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping. arXiv (Cornell University). 19 indexed citations
9.
Jain, Vihan, et al.. (2019). Transferable Representation Learning in Vision-and-Language Navigation. 7403–7412. 49 indexed citations
10.
Peterson, Joshua C., Jordan W. Suchow, Krisha Aghi, Alexander Ku, & Thomas L. Griffiths. (2018). Capturing Human Category Representations by Sampling in Deep Feature Spaces. Cognitive Science. 1 indexed citations
11.
Poplin, Ryan, Pi-Chuan Chang, David H. Alexander, et al.. (2018). A universal SNP and small-indel variant caller using deep neural networks. Nature Biotechnology. 36(10). 983–987. 757 indexed citations breakdown →

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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