James R. Green

3.3k total citations
171 papers, 2.2k citations indexed

About

James R. Green is a scholar working on Molecular Biology, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, James R. Green has authored 171 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 32 papers in Biomedical Engineering and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in James R. Green's work include Non-Invasive Vital Sign Monitoring (25 papers), Bioinformatics and Genomic Networks (21 papers) and Machine Learning in Bioinformatics (17 papers). James R. Green is often cited by papers focused on Non-Invasive Vital Sign Monitoring (25 papers), Bioinformatics and Genomic Networks (21 papers) and Machine Learning in Bioinformatics (17 papers). James R. Green collaborates with scholars based in Canada, United States and Cuba. James R. Green's co-authors include Adrian D. C. Chan, Maryam Lotfi Shahreza, Nasser Ghadiri, Jaleh Varshosaz, Ashkan Golshani, Kevin Dick, Frank Dehne, Sylvain Pitre, Dawn MacIsaac and Yasser B. Ruiz‐Blanco and has published in prestigious journals such as Nature, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

James R. Green

159 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James R. Green Canada	24	837	348	316	161	150	171	2.2k
Pingzhao Hu Canada	38	2.2k 2.6×	352 1.0×	85 0.3×	121 0.8×	135 0.9×	167	4.3k
Simon Lin United States	21	2.0k 2.3×	188 0.5×	53 0.2×	297 1.8×	113 0.8×	85	3.6k
Yuet‐Kin Leung United States	34	1.3k 1.6×	69 0.2×	187 0.6×	205 1.3×	30 0.2×	98	4.0k
Lin Shang China	33	249 0.3×	670 1.9×	77 0.2×	267 1.7×	62 0.4×	151	3.5k
Dexter Hadley United States	21	1.2k 1.4×	204 0.6×	74 0.2×	158 1.0×	156 1.0×	56	2.8k
Lu Liu China	29	1.2k 1.4×	36 0.1×	78 0.2×	92 0.6×	111 0.7×	195	3.8k
Ying Ding United States	38	1.7k 2.0×	82 0.2×	78 0.2×	63 0.4×	159 1.1×	202	4.4k
Elizabeth Chen United States	33	1.8k 2.1×	133 0.4×	60 0.2×	73 0.5×	126 0.8×	161	4.0k
Xun Xu China	46	1.8k 2.1×	29 0.1×	263 0.8×	63 0.4×	143 1.0×	414	8.3k
Li Liu China	36	2.6k 3.1×	72 0.2×	97 0.3×	37 0.2×	48 0.3×	229	4.8k

Countries citing papers authored by James R. Green

Since Specialization

Citations

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

Fields of papers citing papers by James R. Green

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Green. 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 James R. Green. The network helps show where James R. Green may publish in the future.

Co-authorship network of co-authors of James R. Green

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

All Works

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20 of 20 papers shown

Xi, Pengcheng, Julio J. Valdés, Bruce Wallace, et al.. (2025). Coughprint: Distilled Cough Representations From Speech Foundation Model Embeddings. IEEE Transactions on Instrumentation and Measurement. 74. 1–10.

Green, James R., et al.. (2024). Proposing a Low-Cost, Transportable Horizontal Binaural Test Using Headphones. 1–6.

Amini, Marzieh, et al.. (2024). Identifying Areas of High-Risk Vegetation Encroachment on Electrical Powerlines Using Mobile and Airborne Laser Scanned Point Clouds. IEEE Sensors Journal. 24(14). 22129–22143. 7 indexed citations

Hurley, Jason E., et al.. (2024). Simulating whole-body vibration for neonatal patients on a tire-coupled road simulator. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 238(2). 170–186. 1 indexed citations

Valdés, Julio J., et al.. (2024). Human Activity Understanding Through Explainable Audio–Visual Features. IEEE Sensors Letters. 8(8). 1–4.

Law, Andrew, et al.. (2023). Face Detection in Thermal Images with Improved Spatial Precision and Temporal Stability. NPARC. 1–5. 3 indexed citations

Stewart, Matthew, et al.. (2023). Decision Fusion in Automated Sleep Apnea Classification Using Multple Polysomnography Sensors and Convolutional Neural Networks. 1–6.

Harrold, JoAnn, et al.. (2023). Under the Cover Infant Pose Estimation Using Multimodal Data. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 6 indexed citations

Dick, Kevin, et al.. (2022). GasBotty: Multi-Metric Extraction in the Wild. IEEE Access. 10. 28487–28498. 1 indexed citations

10.

Harrold, JoAnn, et al.. (2022). Towards Depth-based Respiratory Rate Estimation with Arbitrary Camera Placement. 1–6. 4 indexed citations

11.

Freitas‐Andrade, Moises, Baptiste Lacoste, John D. H. Stead, et al.. (2022). Sex differences in developmental patterns of neocortical astroglia: A mouse translatome database. Cell Reports. 38(5). 110310–110310. 52 indexed citations

12.

Harrold, JoAnn, et al.. (2022). NICUface: Robust Neonatal Face Detection in Complex NICU Scenes. IEEE Access. 10. 62893–62909. 15 indexed citations

13.

Dick, Kevin, et al.. (2022). Reciprocal perspective as a super learner improves drug-target interaction prediction (MUSDTI). Scientific Reports. 12(1). 13237–13237. 3 indexed citations

14.

Dick, Kevin, et al.. (2021). Machine learning pedagogy to support the research community. 43–48. 2 indexed citations

15.

Dick, Kevin, et al.. (2021). Multi-schema computational prediction of the comprehensive SARS-CoV-2 vs. human interactome. PeerJ. 9. e11117–e11117. 8 indexed citations

16.

Dick, Kevin, Bahram Samanfar, Elroy R. Cober, et al.. (2020). PIPE4: Fast PPI Predictor for Comprehensive Inter- and Cross-Species Interactomes. Scientific Reports. 10(1). 1390–1390. 20 indexed citations

17.

Green, James R., et al.. (2019). Investigating Vibration Levels in a Neonatal Transport System. 42. 4 indexed citations

18.

Dick, Kevin & James R. Green. (2018). Reciprocal Perspective for Improved Protein-Protein Interaction Prediction. Scientific Reports. 8(1). 11694–11694. 19 indexed citations

19.

MacIsaac, Dawn, et al.. (2011). CLEANEMG: Quantifying Power Line Interference in Surface EMG Signals. 34. 7 indexed citations

20.

Pitre, Sylvain, Md Alamgir, James R. Green, et al.. (2008). Computational Methods For Predicting Protein–Protein Interactions. Advances in biochemical engineering, biotechnology. 110. 247–267. 56 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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