Daniel H. Chae

780 total citations · 1 hit paper
9 papers, 460 citations indexed

About

Daniel H. Chae is a scholar working on Computational Mechanics, Biomedical Engineering and Signal Processing. According to data from OpenAlex, Daniel H. Chae has authored 9 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mechanics, 4 papers in Biomedical Engineering and 2 papers in Signal Processing. Recurrent topics in Daniel H. Chae's work include Sparse and Compressive Sensing Techniques (6 papers), Microwave Imaging and Scattering Analysis (3 papers) and Structural Health Monitoring Techniques (1 paper). Daniel H. Chae is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Microwave Imaging and Scattering Analysis (3 papers) and Structural Health Monitoring Techniques (1 paper). Daniel H. Chae collaborates with scholars based in Australia, United States and Sierra Leone. Daniel H. Chae's co-authors include Liang Li, Benjamin Koger, Jacob M. Graving, Iain D. Couzin, Blair R. Costelloe, Hemal Naik, Rodney A. Kennedy, Seungjin Choi, Parastoo Sadeghi and Salman Durrani and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, eLife and ANU Open Research (Australian National University).

In The Last Decade

Daniel H. Chae

9 papers receiving 451 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.

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

2019 332 citations Jacob M. Graving, Daniel H. Chae et al. eLife profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel H. Chae Australia	5	110	66	64	63	59	9	460
Mu Zhou China	11	102 0.9×	39 0.6×	42 0.7×	36 0.6×	109 1.8×	48	748
Jacob M. Graving Germany	7	111 1.0×	74 1.1×	51 0.8×	151 2.4×	29 0.5×	9	656
Jessy Lauer Portugal	6	100 0.9×	61 0.9×	76 1.2×	46 0.7×	26 0.4×	13	499
Shaokai Ye United States	7	198 1.8×	57 0.9×	23 0.4×	41 0.7×	145 2.5×	9	538
Steffen Schneider Germany	8	121 1.1×	82 1.2×	51 0.8×	52 0.8×	105 1.8×	17	680
Hemal Naik Germany	7	134 1.2×	78 1.2×	32 0.5×	91 1.4×	24 0.4×	12	451
Blair R. Costelloe United States	7	177 1.6×	75 1.1×	35 0.5×	133 2.1×	60 1.0×	9	801
Benjamin Koger Germany	5	103 0.9×	68 1.0×	26 0.4×	87 1.4×	24 0.4×	7	407
Edward Shen Canada	8	76 0.7×	16 0.2×	78 1.2×	134 2.1×	37 0.6×	19	700

Countries citing papers authored by Daniel H. Chae

Since Specialization

Citations

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

Fields of papers citing papers by Daniel H. Chae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel H. Chae. 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 Daniel H. Chae. The network helps show where Daniel H. Chae may publish in the future.

Co-authorship network of co-authors of Daniel H. Chae

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

All Works

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9 of 9 papers shown

1.

Graving, Jacob M., Daniel H. Chae, Hemal Naik, et al.. (2019). DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning. eLife. 8. 332 indexed citations breakdown →

2.

Chae, Daniel H., et al.. (2016). Echo-state conditional variational autoencoder for anomaly detection. 1015–1022. 49 indexed citations

3.

Łęski, Tomasz A., Michael Stockelman, Umaru Bangura, et al.. (2016). Prevalence of Quinolone Resistance in Enterobacteriaceae from Sierra Leone and the Detection of qnrB Pseudogenes and Modified LexA Binding Sites. Antimicrobial Agents and Chemotherapy. 60(11). 6920–6923. 6 indexed citations

4.

Chae, Daniel H., et al.. (2014). Sparse recovery on sphere via probabilistic compressed sensing. ANU Open Research (Australian National University). 9. 380–383. 2 indexed citations

5.

Chae, Daniel H., et al.. (2013). Sparse recovery of spherical harmonic expansions from uniform distribution on sphere. ANU Open Research (Australian National University). 9. 1–5. 4 indexed citations

6.

Chae, Daniel H., et al.. (2013). Performance study of compressive sampling for ECG signal compression in noisy and varying sparsity acquisition. ANU Open Research (Australian National University). 57. 1306–1309. 26 indexed citations

7.

Chae, Daniel H., et al.. (2012). Multiplicative and additive perturbation effects on the recovery of sparse signals on the sphere using compressed sensing. ANU Open Research (Australian National University). 3. 1–6. 1 indexed citations

8.

Chae, Daniel H., et al.. (2012). Sparse signal recovery on the sphere: Optimizing the sensing matrix through sampling. ANU Open Research (Australian National University). 1–6. 4 indexed citations

9.

Chae, Daniel H., Parastoo Sadeghi, & Rodney A. Kennedy. (2010). Effects of basis-mismatch in compressive sampling of continuous sinusoidal signals. ANU Open Research (Australian National University). V2–739. 36 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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