Evidence map›Paper›PMID 40025120›Full record

ArticleScientific reports2025

Integrated geophysical prospecting for deep ore detection in the Yongxin gold mining area, Heilongjiang, China.

Yechang Yin, Jun Chen, Zhonghai Zhao, Yuanjiang Yang, Chenglu Li, Haina Li, Xiang Zhao

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Probabilistic human health risk assessment of PMFrontiers in public health · 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.

Yechang YinCollege of Mining, Liaoning Technical University, Fuxin, Liaoning, 123000, China.
Jun ChenCollege of Mining, Liaoning Technical University, Fuxin, Liaoning, 123000, China.
Zhonghai ZhaoCollege of Mining, Liaoning Technical University, Fuxin, Liaoning, 123000, China. zhaozhonghai@lntu.edu.cn.
Yuanjiang YangHeilongjiang Institute of Natural Resources Survey, Harbin, Heilongjiang, 150036, China.
Chenglu LiHeilongjiang Institute of Natural Resources Survey, Harbin, Heilongjiang, 150036, China.
Haina LiCollege of Mining, Liaoning Technical University, Fuxin, Liaoning, 123000, China.
Xiang ZhaoCollege of Mining, Liaoning Technical University, Fuxin, Liaoning, 123000, China.

Funding

National Natural Science Foundation of China 42372108
6 · The paper itself

Abstract

Geophysical exploration techniques play a pivotal role in enhancing the accuracy of mineral prospecting predictions. However, relying solely on individual methods often introduces uncertainties. This study presents a case study from the Yongxin gold deposit, where we integrated audio-frequency magnetotelluric (AMT) methods with gravimetric surveying and high-resolution magnetic profiling to overcome this challenge. Advanced three-dimensional modeling techniques were utilized to precisely delineate lithological variations and deep-seated mineralization features inherent to the area. The inversion and interpretation of cross-sectional AMT data provided insights into the subsurface structure down to a depth of 1.5 km. This enhanced data reliability was achieved through an integrated interpretation constrained by multiple datasets, enabling a more accurate inference of the deeper geological framework. Furthermore, by amalgamating various datasets, we uncovered characteristics of deep mineralization, the three-dimensional configuration of mineralization-related rock masses, and the spatial orientation of known ore deposits. This holistic approach facilitated a comprehensive understanding of the deeper geological formations. A detailed analysis of ore-controlling structures and exploration markers led to the development of a tailored geological-geophysical model for mineral exploration within the study area, serving as a valuable reference for future deep exploration efforts.

Identifiers

PMID40025120
PMCPMC11873187

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.