Farron Wallace

426 citations

36 papers · 276 indexed · h-index 11

Impact in

Water Science and Technology top 10%
- Water Quality Monitoring Technologies
Nature and Landscape Conservation
- Fish Ecology and Management Studies
- Ichthyology and Marine Biology

Papers in ⓘ

Water Science and Technology 17
- Water Quality Monitoring Technologies 17
Computer Vision and Pattern Recognition 14
- Advanced Neural Network Applications 5
- Image Enhancement Techniques 5

Co-authors: Jenq–Neng Hwang (10 shared papers)Craig S. Rose (6 shared papers)Gaoang Wang (5 shared papers)Susan Wallace (4 shared papers)Simegnew Yihunie Alaba (12 shared papers)Matthew D. Campbell (12 shared papers)Chiranjibi Shah (14 shared papers)John E. Ball (13 shared papers)
Journals: Computers & Education (3 papers)Sensors (2 papers)Diabetes Technology & Therapeutics (1 paper)Information Processing & Management (1 paper)IEEE Transactions on Image Processing (1 paper)
Partner nations: United States China

In The Last Decade

Farron Wallace

31 papers receiving 258 citations

Peers

Countries citing papers authored by Farron Wallace

Since Specialization

Citations

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

Fields of papers citing papers by Farron Wallace

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Farron Wallace, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Farron Wallace Line = papers co-authored together Farron Wallace links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset Sensors ·Simegnew Yihunie Alaba, M M Nabi, Chiranjibi Shah, Jack Prior, Matthew D. Campbell, Farron Wallace, John E. Ball, Robert Moorhead	2022	38
2	Electronic office hours: a component of distance learning Computers & Education ·Farron Wallace, Susan Wallace	2001	23
3	Uncertainty-Based Active Learning via Sparse Modeling for Image Classification IEEE Transactions on Image Processing ·Gaoang Wang, Jenq–Neng Hwang, Craig S. Rose, Farron Wallace	2018	23
4	Fish Tracking and Segmentation From Stereo Videos on the Wild Sea Surface for Electronic Monitoring of Rail Fishing IEEE Transactions on Circuits and Systems for Video Technology ·Tsung–Wei Huang, Jenq–Neng Hwang, Suzanne Romain, Farron Wallace	2018	20
5	Multi-Scale Fish Segmentation Refinement and Missing Shape Recovery IEEE Access ·Gaoang Wang, Jenq–Neng Hwang, Farron Wallace, Craig S. Rose	2019	19
6	Computer-Based Remote Diabetes Education for School Personnel Diabetes Technology & Therapeutics ·Doreen Radjenovic, Farron Wallace	2001	16
7	The effect of subliminal help presentations on learning a text editor Information Processing & Management ·Farron Wallace, J. Michael Flanery, Gerald Knezek	1991	15
8	Uncertainty sampling based active learning with diversity constraint by sparse selection Gaoang Wang, Jenq–Neng Hwang, Craig S. Rose, Farron Wallace	2017	15
9	Shrinking Encoding with Two-Level Codebook Learning for Fine-Grained Fish Recognition Gaoang Wang, Jenq–Neng Hwang, Kresimir Williams, Farron Wallace, Craig S. Rose	2016	12
10	Estimating precision and accuracy of automated video post-processing: A step towards implementation of AI/ML for optics-based fish sampling Frontiers in Marine Science ·Jack Prior, Matthew D. Campbell, Matthew Dawkins, Paul F. Mickle, Robert Moorhead, Simegnew Yihunie Alaba, Chiranjibi Shah, Joseph Salisbury, Kevin R. Rademacher, A. Paul Felts, Farron Wallace	2023	10
11	An enhanced YOLOv5 model for fish species recognition from underwater environments Chiranjibi Shah, Simegnew Yihunie Alaba, M M Nabi, Jack Prior, Matthew D. Campbell, Farron Wallace, John E. Ball, Robert Moorhead	2023	10
12	MI-AFR: multiple instance active learning-based approach for fish species recognition in underwater environments Chiranjibi Shah, Simegnew Yihunie Alaba, M M Nabi, Ryan Caillouet, Jack Prior, Matthew D. Campbell, Farron Wallace, John E. Ball, Robert Moorhead	2023	8
13	Remote sensing using laser projection photogrammetry for underwater surveys D.M. Kocak, Thomas H. Jagielo, Farron Wallace, John Kloske	2004	8
14	Semi-supervised learning for fish species recognition Simegnew Yihunie Alaba, Chiranjibi Shah, M M Nabi, John E. Ball, Robert Moorhead, Deok Han, Jack Prior, Matthew D. Campbell, Farron Wallace	2023	8
15	Automated Analysis of Underwater Imagery: Accomplishments, Products, and Vision National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library ·Benjamin Richards, Oscar Beijbom, Matthew D. Campbell, M. Elizabeth Clarke, George R. Cutter, Matthew Dawkins, Duane Edington, Deborah R. Hart, Marie C. Hill, Anthony Hoogs, David Kriegman, Erin E. Moreland, T. A. Oliver, William Michaels, Michael Placentino, Audrey Rollo, Charles H. Thompson, Farron Wallace, Ivor D. Williams, Kresimir Williams	2019	7
16	A Zero Shot Detection Based Approach for Fish Species Recognition in Underwater Environments Chiranjibi Shah, M M Nabi, Simegnew Yihunie Alaba, Jack Prior, Ryan Caillouet, Matthew D. Campbell, Farron Wallace, John E. Ball, Robert Moorhead	2023	5
17	Live Tracking of Rail-Based Fish Catching on Wild Sea Surface Tsung–Wei Huang, Jenq–Neng Hwang, Suzanne Romain, Farron Wallace	2016	5
18	Nucleus circularis and lateral preoptic regulation of osmotic thirst Physiological Psychology ·Farron Wallace, Ernest H. Harrell	1983	4
19	Probabilistic Model-Based Active Learning with Attention Mechanism for Fish Species Recognition M M Nabi, Chiranjibi Shah, Simegnew Yihunie Alaba, Jack Prior, Matthew D. Campbell, Farron Wallace, Robert Moorhead, John E. Ball	2023	4
20	Two neural network programming assignments using arrays Susan Wallace, Farron Wallace	1991	4

About Farron Wallace

Farron Wallace is a scholar working on Water Science and Technology, Computer Vision and Pattern Recognition, Molecular Biology, Nature and Landscape Conservation and Artificial Intelligence, having authored 36 papers that have together received 276 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (17 papers), Identification and Quantification in Food (11 papers), Advanced Neural Network Applications (5 papers), Ichthyology and Marine Biology (5 papers), Image Enhancement Techniques (5 papers), Neural Networks and Applications (3 papers), Machine Learning and Algorithms (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Water Science and Technology (98 citations), Nature and Landscape Conservation (46 citations), Computer Vision and Pattern Recognition (56 citations), Artificial Intelligence (59 citations) and Human-Computer Interaction (10 citations). Farron Wallace has collaborated with scholars based in United States and China. Frequent co-authors include Jenq–Neng Hwang, Craig S. Rose, Gaoang Wang, Susan Wallace, Simegnew Yihunie Alaba, Matthew D. Campbell, Chiranjibi Shah, John E. Ball, Doreen Radjenovic and Gerald Knezek. Their work appears in journals such as Computers & Education, Sensors, Diabetes Technology & Therapeutics, Information Processing & Management and IEEE Transactions on Image Processing.

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.

Explore authors with similar magnitude of impact