Evidence map›Paper›PMID 31823019›Full record

ArticleEnvironmental monitoring and assessment2019

Global industrial park research trends: a bibliometric analysis from 1987 to 2016.

Chenxi Li, Jingyao Wu, Tao Zeng

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 22% of its field
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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Chenxi LiSchool of Public Administration, Xi'an University of Architecture and Technology, Xi'an, 710055, China. xywglcx@163.com.ORCID http://orcid.org/0000-0002-5019-9949
Jingyao WuLand Surveying, Planning and Design Institute Co., Ltd, Shaanxi Land Construction Group Co., Ltd., Xi'an, 710075, China.
Tao ZengSchool of Public Administration, Xi'an University of Architecture and Technology, Xi'an, 710055, China.
Xi'an University of Architecture and Technology · CN

Funding

State Scholarship Fund of China 201908610060
6 · The paper itself

Abstract

Industrial parks, which are characterized as a group of industrial businesses designed to meet the concomitant demands of different organizations within an area, have played an important role in the national development strategies of many countries. Industrial parks have received increasingly more attention over time. Nevertheless, few scholars have visually analyzed global scientific data. This paper quantitatively and visually examines global academic research papers on industrial parks from 1987 to 2016 by using a bibliometric analysis. A total of 1823 papers from Science Citation Index Expanded and Social Sciences Citation Index databases were analyzed. The distributions of authorship, keywords, countries/territories, and institutes were generated. According to data from Science Citation Index Expanded and Social Sciences Citation Index databases, the top five most productive authors (i.e., Geng Y. with 22 articles, Fujita T. with 17, El-Halwagi M.M. with 15, Zhang Y. with 14, and Tan R.R. with 12) have contributed significantly to industrial park research. Papers on industrial park research have mainly been from China, the USA, and Taiwan. The dominant keywords from industrial park research from 1987 to 2016 are "China", "system", "heavy metal", and "eco-industrial park". These keywords will be the hot topics in industrial park research in the future. The research findings can provide a reference for understanding the research development process and trends in analyses in the field of industrial parks.

Indexed as

BibliometricsManufacturing and Industrial FacilitiesResearchTerminology as TopicBibliometric analysisGlobal academic publicationIndustrial parkLiterature reviewScientific documentsWeb of Science

Identifiers

PMID31823019
OpenAlexW2994764345

What OpenQuestion holds

Textmetadata
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.