DOI: 10.7717/peerj.9115 link

PMID: 32435539

OpenAlex ID: W3023084434

Category: Biomedical

Title: Assessment and simulation of land use and land cover change impacts on the land surface temperature of Chaoyang District in Beijing, China

Authors: Muhammad Amir Siddique, Muhammad Awais Rasool, Dongyun Liu, Pengli Li, Umair Rasool, Tauheed Ullah Khan, Tanzeel Javaid Aini Farooqi, Liwen Wang, ... (9 authors, truncated)

Publishing Date: 11-May-2020

YCR = 2020  /  36  /  3.65 

Version 1.00            Year       /   Citations  /   Relative

Metric Value Date of Calculation

Citations count

36

30-May-2024

Relative

3.65

04-Aug-2024

Same Authors in Other Papers:

Logic 1 Same First Author: A first author detected by OpenAlex algorithm with possibility of multiple first authors. Good R-values of the same first author(s) as a first author(s) in other papers: 4.00*

Logic 2 Same Authors in Any Team: Good R-values of the same authors with any team in other papers: 10.43, 6.53, 6.24, 6.02, 5.68, 4.91, 4.81, 4.71, 4.45, 4.00*, 3.99, 3.59, 3.52, 3.48, 3.47, ... (98 found, truncated)

Same Authors Duplicates: duplicates across 2 logical groups are not added up in the final calculation, duplicates are shown with asterisk*.

Same Authors Total Good R-values: same authors total good non-duplicated R-values for above 2 logical groups: 98

Article Expected CPY (Citations per Year): 2.46 Expected CPY Help

Article Actual CPY: 9.00 Actual CPY Help

Article Co-Citation FCR (Field Citation Rate): 2.93 FCR Help

Article Co-Citation Network Size: 2361 Co-Citation Network Size Help

Article Topics: Urban Heat Islands and Mitigation Strategies, Global Analysis of Ecosystem Services and Land Use, Impact of Urban Green Space on Public Health Topics help

Article Keywords: Land Surface Temperature, land-use change, Urban Climate Keywords Help

Journal: PeerJ

Journal IF-ycr: 2.829 Journal IF-ycr Help

Journal short code: PeerJ

Journal ISSN: 2167-8359

Journal OA-ID: 1983995261

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Expected CPY Help: Predicted citations per year for this article, derived from its Field Citation Rate (FCR) using a benchmark regression of NIH-funded papers. Values above actual CPY indicate under-performance; below indicate over-performance. Used as the denominator of the Relative Citation Ratio.

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Actual CPY Help: Average yearly citations the article has received from publication through the current year, adjusted for partial years. Used as the numerator of the Relative Citation Ratio.

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FCR Help: Mean journal citation rate for all papers in the article's co-citation network. For each network paper we substitute its journal’s impact factor (calculated from open data) as a proxy for citations per year, then average these values. This captures the citation intensity of the article's immediate research field and forms the basis for computing expected CPY.

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Co-Citation Network Size Help: Number of unique papers co-cited with this article by its citing papers; larger networks yield more stable field estimates when calculating FCR and expected CPY.

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Topics Help: OpenAlex assigns topics to each paper with an AI model that considers the title, abstract, journal, and citation links. Tags are chosen from about 4,500 research areas, and the highest-confidence tag becomes the paper's primary topic. Every topic sits in a hierarchy of domain, field, and subfield, so you can see exactly where the work fits in the wider map of science.

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Keywords Help: Keywords are generated automatically from the paper's assigned topics. The OpenAlex system selects candidate terms, then keeps up to five that match closely with the title or abstract. These keywords highlight specific concepts or methods and give a quick complement to the broader topic tags.

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Journal IF-ycr Help: Journal IF-ycr is a two-year impact factor recalculated from OpenAlex's open citation data. For a given journal and year Y, we:

  1. Count citations made in year Y by any paper to items that the journal published in years Y-1 and Y-2 (excluding the current year).
  2. Divide that citation count by the number of articles the journal published in those same two years.
This yields an impact factor analogue built entirely from open data, updated annually and used in the YCR workflow.

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