Evidence map›Paper›PMID 42535773›Full record

ArticleGround water

The Evolution and Frontiers of Groundwater Research Hotspots in China.

Baocai Tong, Yuting Yan, Jiao Li, Yihan Cui, Yu Liu, Yuyu Wan, Rui Zuo, Yuanzheng Zhai, Xu Han

Abstract read
In one paragraph

Article in Ground water. 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

9 authors.

Baocai TongCollege of Water Sciences, Beijing Normal University, Beijing, 100875, China.
Yuting YanCollege of Water Sciences, Beijing Normal University, Beijing, 100875, China.
Jiao LiTechnical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment of the People's Republic of China, Beijing, 100012, China.
Yihan CuiCollege of Water Sciences, Beijing Normal University, Beijing, 100875, China.
Yu LiuCollege of Water Sciences, Beijing Normal University, Beijing, 100875, China.
Yuyu WanCollege of New Energy and Environment, Jilin University, Changchun, 130021, China.
Rui ZuoCollege of Water Sciences, Beijing Normal University, Beijing, 100875, China.
Yuanzheng ZhaiCollege of Water Sciences, Beijing Normal University, Beijing, 100875, China.ORCID https://orcid.org/0000-0002-2615-9859
Xu HanDepartment of Ecology and Environment of Heilongjiang Province, Harbin, 150090, China.

Funding

National Natural Science Foundation of China 42377052
6 · The paper itself

Abstract

Groundwater plays an irreplaceable role in maintaining ecosystem stability and supporting production and daily life. Its extensive and long-term development and utilization have attracted increasing academic attention to groundwater research. In this study, we employed bibliometric analysis of 3514 graduate dissertations published between 1988 and 2024, extracted from the China National Knowledge Infrastructure (CNKI), examining their quantitative output, institutional affiliations, research fields, and keywords to explore groundwater research trends. The analysis indicates a growing focus on groundwater research, with 1066 (30%) graduate dissertations published in the past 5 years. North China, East China, and Northwest China were identified as the primary regions hosting groundwater research institutions. As a typical interdisciplinary field, "Earth Sciences," "Industrial Technology," and "Environmental Science" emerged as active intersecting disciplines. Moreover, keywords such as "numerical simulation," "hydrochemical characteristics," and "isotopes" were identified as high-frequency terms. Despite some progress, groundwater research continues to face challenges in several areas, including but not limited to the characterization of complex media, the integration of multi-source data, and the understanding of hydrogeochemical mechanisms. Based on keyword co-occurrence network and burst analysis, we predict future primary research directions. The integration of traditional disciplines such as hydrology, biology, and geochemistry is becoming increasingly prominent, while convergence with emerging fields like machine learning, big data, and artificial intelligence represents a frontier trend. The combined application of multiple technologies is becoming the optimal choice for addressing complex groundwater issues. In summary, this study provides a new perspective and offers broader insights for the research and development in the field of groundwater.

Indexed as

GroundwaterResearchBibliometricsChinaEnvironmental MonitoringHydrology

Identifiers

PMID42535773
PMCPMC13571175

What OpenQuestion holds

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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.