Amur Tiger Individual Identification Based on the Improved InceptionResNetV2.

Ling Wu, Yongyi Jinma, Xinyang Wang, Feng Yang, Fu Xu, Xiaohui Cui, Qiao Sun

Abstract read

In one paragraph

Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it

0cells of the map it votes in

3citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

From pixels to conservation: Deep learning for automated monitoring of rare and endangered wildlife.iScience · 2026
Article
Aphid-ResNetSwin: An Image Recognition Method with Improved Attention Mechanism for Graded Identification ofInsects · 2026
Article
Hierarchical Dual-Model Detection Framework for Spotted Seals Using Deep Learning on UAVs.Animals : an open access journal from MDPI · 2025
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ling WuSchool of Information and Technology (School of Artificial Intelligence), Beijing Forestry University, Beijing 100083, China.

Yongyi JinmaSchool of Information and Technology (School of Artificial Intelligence), Beijing Forestry University, Beijing 100083, China.

Xinyang WangSchool of Information and Technology (School of Artificial Intelligence), Beijing Forestry University, Beijing 100083, China.ORCID 0000-0003-3919-9291

Feng YangSchool of Information and Technology (School of Artificial Intelligence), Beijing Forestry University, Beijing 100083, China.

Fu XuSchool of Information and Technology (School of Artificial Intelligence), Beijing Forestry University, Beijing 100083, China.

Xiaohui CuiSchool of Information and Technology (School of Artificial Intelligence), Beijing Forestry University, Beijing 100083, China.ORCID 0009-0000-2759-1400

Qiao SunSchool of Information and Technology (School of Artificial Intelligence), Beijing Forestry University, Beijing 100083, China.

Funding

National Key R&D Program of China 2022YFF1302700Outstanding Youth Team Project of Central Universities QNTD202308the Emergency Open Competition Project of National Forestry and Grassland Administration 202303

6 · The paper itself

Abstract

Accurate and intelligent identification of rare and endangered individuals of flagship wildlife species, such as Amur tiger (

Indexed as

attention mechanismconvolutional neural networkInceptionResNetV2individual recognitionobject detection

Identifiers

PMID39199846

DOI10.3390/ani14162312

PMCPMC11350864

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.