Andrew Delong

5.5k total citations · 2 hit papers
14 papers, 3.2k citations indexed

About

Andrew Delong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Andrew Delong has authored 14 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Andrew Delong's work include Medical Image Segmentation Techniques (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Neural Network Applications (5 papers). Andrew Delong is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Neural Network Applications (5 papers). Andrew Delong collaborates with scholars based in Canada, Russia and Estonia. Andrew Delong's co-authors include Brendan J. Frey, Babak Alipanahi, Matthew T. Weirauch, Yuri Boykov, Anton Osokin, Hossam Isack, Daniele Merico, Michael Wainberg, Michael K. K. Leung and Olga Veksler and has published in prestigious journals such as Nature Biotechnology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Andrew Delong

14 papers receiving 3.1k 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.

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

2015 1.8k citations Babak Alipanahi, Andrew Delong et al. Nature Biotechnology profile →
Deep learning in biomedicine

2018 414 citations Michael Wainberg, Daniele Merico et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Delong Canada	11	1.7k	692	470	220	206	14	3.2k
Ao Li China	32	2.0k 1.2×	436 0.6×	751 1.6×	488 2.2×	823 4.0×	148	3.3k
Ulisses Braga-Neto United States	33	1.3k 0.8×	387 0.6×	636 1.4×	97 0.4×	51 0.2×	135	3.4k
Nebojša Jojić United States	30	1.1k 0.6×	1.7k 2.4×	770 1.6×	145 0.7×	116 0.6×	126	3.9k
Chun-Hou Zheng China	34	2.5k 1.5×	1.1k 1.6×	1.1k 2.3×	344 1.6×	652 3.2×	261	4.5k
Weichuan Yu Hong Kong	25	1.4k 0.8×	760 1.1×	263 0.6×	184 0.8×	77 0.4×	98	3.0k
Terry E. Weymouth United States	17	772 0.5×	1.2k 1.7×	207 0.4×	128 0.6×	139 0.7×	59	2.6k
Raghu Machiraju United States	27	464 0.3×	1.0k 1.5×	286 0.6×	164 0.7×	115 0.6×	143	2.4k
Donald Adjeroh United States	28	664 0.4×	680 1.0×	803 1.7×	98 0.4×	158 0.8×	155	2.8k
Shujun Huang China	19	535 0.3×	593 0.9×	297 0.6×	204 0.9×	183 0.9×	64	2.1k
Babak Alipanahi Canada	15	2.7k 1.6×	160 0.2×	424 0.9×	159 0.7×	400 1.9×	30	3.8k

Countries citing papers authored by Andrew Delong

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Delong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Delong

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

14 of 14 papers shown

1.

Holgersen, Erle M., Jin‐Kuk Kim, Zvi Shalev, et al.. (2021). Transcriptome-Wide Off-Target Effects of Steric-Blocking Oligonucleotides. Nucleic Acid Therapeutics. 31(6). 392–403. 47 indexed citations

2.

Wainberg, Michael, Daniele Merico, Andrew Delong, & Brendan J. Frey. (2018). Deep learning in biomedicine. Nature Biotechnology. 36(9). 829–838. 414 indexed citations breakdown →

3.

Gorelick, Lena, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, & Andrew Delong. (2016). Local Submodularization for Binary Pairwise Energies. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(10). 1985–1999. 6 indexed citations

4.

Alipanahi, Babak, Andrew Delong, Matthew T. Weirauch, & Brendan J. Frey. (2015). Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning. Nature Biotechnology. 33(8). 831–838. 1813 indexed citations breakdown →

5.

Leung, Michael K. K., Andrew Delong, Babak Alipanahi, & Brendan J. Frey. (2015). Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets. Proceedings of the IEEE. 104(1). 176–197. 153 indexed citations

6.

Gorelick, Lena, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, & Andrew Delong. (2014). Submodularization for Binary Pairwise Energies. 1154–1161. 24 indexed citations

7.

Delong, Andrew, Olga Veksler, Anton Osokin, & Yuri Boykov. (2012). Minimizing Sparse High-Order Energies by Submodular Vertex-Cover. 25. 962–970. 10 indexed citations

8.

Delong, Andrew, Lena Gorelick, Olga Veksler, & Yuri Boykov. (2012). Minimizing Energies with Hierarchical Costs. International Journal of Computer Vision. 100(1). 38–58. 23 indexed citations

9.

Delong, Andrew, Anton Osokin, Hossam Isack, & Yuri Boykov. (2011). Fast Approximate Energy Minimization with Label Costs. International Journal of Computer Vision. 96(1). 1–27. 258 indexed citations

10.

Gorelick, Lena, Andrew Delong, Olga Veksler, & Yuri Boykov. (2011). Recursive MDL via graph cuts: Application to segmentation. 22. 890–897. 3 indexed citations

11.

Delong, Andrew, Lena Gorelick, Frank R. Schmidt, Olga Veksler, & Yuri Boykov. (2011). Interactive Segmentation with Super-Labels. Lecture notes in computer science. 6819. 147–162. 14 indexed citations

12.

Delong, Andrew, Anton Osokin, Hossam Isack, & Yuri Boykov. (2010). Fast approximate energy minimization with label costs. 2173–2180. 292 indexed citations

13.

Delong, Andrew & Yuri Boykov. (2009). Globally optimal segmentation of multi-region objects. 285–292. 88 indexed citations

14.

Delong, Andrew & Yuri Boykov. (2008). A Scalable graph-cut algorithm for N-D grids. 1–8. 68 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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