Evidence map›Paper›PMID 41971775›Full record

ReviewRSC advances2026

Future directions and emerging trends of sustainable energy harvesting: innovations in photovoltaic and thermoelectric systems.

Nadia Anwar, Muqarrab Ahmed, Shaheen Irfan, Muhammad Adnan, Shern-Long Lee, Phuong V Pham, Chandra Sekhar Rout

Abstract readReview
In one paragraph

Review in RSC advances, 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.

Nadia AnwarCollege of Civil and Transportation Engineering, Shenzhen University Shenzhen 518060 China nadiaanwar35@yahoo.com.ORCID https://orcid.org/0000-0002-3308-1148
Muqarrab AhmedDepartment of Chemical Engineering, Tsinghua University Beijing 100084 China.
Shaheen IrfanDepartment of Physics, The University of Lahore Lahore 54000 Pakistan.
Muhammad AdnanDepartment of Physics, National Sun Yat-sen University Kaohsiung 80424 Taiwan phuongpham@nsysu.edu.tw.
Shern-Long LeeInstitute for Advanced Study, Shenzhen University Shenzhen 518060 China sllee@szu.edu.cn.ORCID https://orcid.org/0000-0002-2377-4098
Phuong V PhamDepartment of Physics, National Sun Yat-sen University Kaohsiung 80424 Taiwan phuongpham@nsysu.edu.tw.ORCID https://orcid.org/0000-0001-7951-1329
Chandra Sekhar RoutCentre for Nano and Material Sciences, Jain University Bangalore 562112 India.ORCID https://orcid.org/0000-0003-4380-5549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review seeks to present a comprehensive overview of recent advancements in sustainable energy harvesting technologies, with a focus on photovoltaic (PV), and thermoelectric (TE) systems. It examines the evolution of next-generation PV technologies, such as perovskite and tandem solar cells, which demonstrate remarkable potential for high-efficiency, low-cost energy conversion. In parallel, it explores progress in TE materials, including nanostructured and organic compounds, that have led to enhanced thermoelectric performance and broadened application prospects. The review discusses key challenges related to the scalability, stability, and integration of these systems. Furthermore, it highlights the synergies of combining PV and TE technologies to enhance overall energy-harvesting efficiency. The review concludes by identifying emerging trends and proposing strategic directions for future research to accelerate the development and commercialization of sustainable energy harvesting solutions.

Identifiers

PMID41971775
PMCPMC13063112

What OpenQuestion holds

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LicenceCC BY-NC
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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.