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Jeremy S. Smith

Researcher / author (OpenAlex)
Person academia

Facts

2 properties
Instance of
human[2]
Affiliation
University of Liverpoolas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
ORCID iD
0000-0002-0212-2365
OpenAlex ID
A5003757015as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1

Report an error or request removal Lineage (PROV-JSON)

📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 31
Abnormal Event Detection From Videos Using a Two-Stream Recurrent Variational Autoencoder, Achelous: A Fast Unified Water-Surface Panoptic Perception Framework Based on Fusion of Monocular Camera and 4D mmWave Radar, Action Recognition from Still Images Based on Deep VLAD Spatial Pyramids, An Enhanced 0.8$\text{V}_\text{OC}$-Model-Based Global Maximum Power Point Tracking Method for Photovoltaic Systems, A novel two-stream structure for video anomaly detection in smart city management, Context-based local-global fusion network for 3D point cloud classification and segmentation, Deep multiple classifier fusion for traffic scene recognition, Driver behavior recognition based on deep convolutional neural networks +23 more
← Authored by 31
Abnormal Event Detection From Videos Using a Two-Stream Recurrent Variational Autoencoder, Achelous: A Fast Unified Water-Surface Panoptic Perception Framework Based on Fusion of Monocular Camera and 4D mmWave Radar, Action Recognition from Still Images Based on Deep VLAD Spatial Pyramids, An Enhanced 0.8$\text{V}_\text{OC}$-Model-Based Global Maximum Power Point Tracking Method for Photovoltaic Systems, A novel two-stream structure for video anomaly detection in smart city management, Context-based local-global fusion network for 3D point cloud classification and segmentation, Deep multiple classifier fusion for traffic scene recognition, Driver behavior recognition based on deep convolutional neural networks +23 more
Affiliated with 3
University of Liverpool, Xi'an Jiaotong-Liverpool University, Liverpool College
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Summary

Jeremy S. Smith is a human[1].

Related Entities

Xi'an Jiaotong-Liverpool University

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Jeremy S. Smith. Retrieved October 24, 2026, from https://4ort.xyz/entity/jeremy-s-smith
MLA “Jeremy S. Smith.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 Oct. 2026, https://4ort.xyz/entity/jeremy-s-smith.
BibTeX @misc{4ortxyz_jeremy-s-smith_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Jeremy S. Smith}}, year = {2026}, url = {https://4ort.xyz/entity/jeremy-s-smith}, note = {Accessed: 2026-10-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Jeremy S. Smith — https://4ort.xyz/entity/jeremy-s-smith (retrieved 2026-10-24)

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