Peter Young

8.3k citations
40 papers · 5.7k · 4 hit papers · h-index 17

Impact in

    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques
    • Human Pose and Action Recognition
    • Video Analysis and Summarization
    • Domain Adaptation and Few-Shot Learning
    • Topic Modeling
    • Natural Language Processing Techniques

Papers in

Peter Young

38 papers receiving 5.4k citations

Peter Young's Hit Papers

From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions 2014 · 1.6k citations
1.6k0+14+28Years since publication50010001.5k

Peers

Peter Young
Comparison fields: 5 of 162
  • Computer Vision and Pattern Recognition 3.4k
  • Artificial Intelligence 2.3k
  • Water Science and Technology 586
  • Environmental Engineering 427
  • Global and Planetary Change 469
Replace Melba M. Crawford with:
Melba M. Crawford United States
G. V. Loganathan United States
Guanghui Wang China
Luı́s Torgo Portugal
D.R. Wilson United States
Zhong‐Qiu Zhao China
Ce Zhang China
Klaus Greff Switzerland
Jan Koutník Switzerland
Imran Ahmed Pakistan
Peter Young relative to Melba M. Crawford United States Melba M. Crawford's profile →
Citations per field
00.5×3.6×
Melba M. Crawford · 1×
Citations per year

Countries citing papers authored by Peter Young

Since Specialization
Citations

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

Fields of papers citing papers by Peter Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Young, 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 Peter Young Line = papers co-authored together Peter Young links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Hit paper breakdown →
20141568
2
Every Picture Tells a Story: Generating Sentences from Images
Hit paper breakdown →
2010892
3
Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics
Hit paper breakdown →
2013853
4
Recursive Estimation and Time-Series Analysis
Hit paper breakdown →
1984534
5
Collecting Image Annotations Using Amazon's Mechanical Turk
2010347
6 1998227
7 2006224
8 1984211
9 1996179
10 2003157
11 2016134
12
Framing image description as a ranking task: data, models and evaluation metrics
201551
13 199351
14 199846
15 199941
16 199035
17 200617
18 200515
19 198613
20 199213

About Peter Young

Peter Young is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Environmental Engineering and Water Science and Technology, having authored 40 papers that have together received 5.7k indexed citations. Recurring topics across this work include Control Systems and Identification (9 papers), Multimodal Machine Learning Applications (7 papers), Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers), Neural Networks and Applications (4 papers), Hydrology and Watershed Management Studies (4 papers), Plant Water Relations and Carbon Dynamics (3 papers) and Hydrological Forecasting Using AI (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Artificial Intelligence (2.3k citations), Water Science and Technology (586 citations), Environmental Engineering (427 citations) and Global and Planetary Change (469 citations). Peter Young has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Julia Hockenmaier, Micah Hodosh, Alice Lai, Cyrus Rashtchian, Ali Farhadi, Mohammad Amin Sadeghi, David Forsyth, Mohsen Hejrati, C. James Taylor and Matthew Lees. Their work appears in journals such as Animal Science, International Journal of Dairy Technology, Environmental Modelling & Software, Transactions of the Association for Computational Linguistics and Journal of Guidance Control and Dynamics.

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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