Evidence map›Paper›PMID 38782718›Full record

ArticleEnvironmental science & technology2024

Spatiotemporal Expansion of Algal Blooms in Coastal China Seas.

Kai Zeng, Elamurugu Alias Gokul, Haifeng Gu, Ibrahim Hoteit, Ye Huang, Peng Zhan

Abstract read
In one paragraph

Article in Environmental science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. HONO emission from marine algae.Science advances · 2026
    Article
  3. Article
  4. 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

6 authors.

Kai ZengDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Elamurugu Alias GokulEarth Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia.
Haifeng GuThird Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.
Ibrahim HoteitEarth Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia.
Ye HuangKey Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China.ORCID 0000-0001-6322-2346
Peng ZhanDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-3996-7011

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coastal seas of China are increasingly threatened by algal blooms, yet their comprehensive spatiotemporal mapping and understanding of underlying drivers remain challenging due to high turbidity and heterogeneous water conditions. We developed a singular value decomposition-based algorithm to map these blooms using two decades of MODIS-Aqua satellite data, spanning from 2003 to 2022. Our findings indicate significant algal activity along the Chinese coastline, impacting an average annual area of approximately 1.8 × 10

Indexed as

EutrophicationChinaEnvironmental MonitoringOceans and SeasSeasonsSpatio-Temporal Analysisalgal bloomscoastal China seasremote sensingsingular value decomposition

Identifiers

PMID38782718
PMCPMC11271660

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.