Evidence map›Paper›PMID 42401712›Full record

ArticleDiscover nano2026

Heat transfer analysis of non-Newtonian hybrid nanofluid flow over a stretching surface using an artificial neural network.

Gunisetty Ramasekhar, N Bala Kishore, C Rekha, B V S N Lakshmi, A Divya, Maddina Dinesh Kumar, Nehad Ali Shah

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gunisetty RamasekharDepartment of Mathematics, Rajeev Gandhi Memorial College of Engineering and Technology (Autonomous), Nandyal, Andhra Pradesh, 518501, India.
N Bala KishoreDepartment of CSE (AI & ML), Rajeev Gandhi Memorial College of Engineering and Technology (Autonomous), Nandyal, Andhra Pradesh, 518501, India.
C RekhaDepartment of Computer Science and Engineering, Srinivasa Ramanujan Institute of Technology, Anantapur, Andhra Pradesh, 515701, India.
B V S N LakshmiDepartment of CSE (AI & ML), Rajeev Gandhi Memorial College of Engineering and Technology (Autonomous), Nandyal, Andhra Pradesh, 518501, India.
A DivyaSchool of Technology, The Apollo University, Chittoor, Andhra Pradesh, 517127, India. divya_abbaireddy@apollouniversity.edu.in.
Maddina Dinesh KumarDepartment of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, 602105, India.
Nehad Ali ShahDepartment of Mechanical Engineering, Sejong University, Seoul, 05006, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study investigates the role of Gold-Fe

Indexed as

Casson fluid modelHeat source/sinkHybrid nanofluidMHDThermal radiation

Identifiers

PMID42401712
PMCPMC13332928

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.