Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information
2016302 citationsLinda See, Peter Mooney et al.ISPRS International Journal of Geo-Informationprofile →
Exposure Ecology Drives a Unified Understanding of the Nexus of (Urban) Natural Ecosystem, Ecological Exposure, and Health
This map shows the geographic impact of Bin Jiang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bin Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Jiang more than expected).
This network shows the impact of papers produced by Bin Jiang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bin Jiang. The network helps show where Bin Jiang may publish in the future.
Co-authorship network of co-authors of Bin Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Jiang.
A scholar is included among the top collaborators of Bin Jiang based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Bin Jiang. Bin Jiang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yao, Xiaobai, et al.. (2016). New insights gained from location-based social media data : VSI Preface for the special issue on New insights gained from location-based social media data. Computers Environment and Urban Systems. 58.1 indexed citations
9.
See, Linda, Peter Mooney, Giles M. Foody, et al.. (2016). Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information. ISPRS International Journal of Geo-Information. 5(5). 55–55.302 indexed citations breakdown →
10.
Jia, Tao & Bin Jiang. (2012). Scaling property of urban system using an entropy-based hierarchical clustering method.1 indexed citations
11.
Shi, Shaohua, et al.. (2012). Identification and Sequence Analysis of Duck Hepatitis A Virus Type 1 Isolated from Muscovy Duckling with Pancreatitis. Fujian nongye xuebao. 27(9). 945–950.4 indexed citations
Liu, Xintao & Bin Jiang. (2011). A novel approach to the identification of urban sprawl patches based on the scaling of geographic space. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2(2). 415–429.7 indexed citations
14.
Chen, Shilong, Shaoying Chen, Xiaoxia Cheng, et al.. (2010). The study on the pathogenicity of new type duck reovirus. Journal of Northwest A&F University. 38(4). 14–18.5 indexed citations
15.
Jiang, Bin, et al.. (2010). Research on the key factors of agricultural climate in cultivation division of high-quality tobacco in Qianxinan.. 1(4). 39–42.
16.
Jia, Tao & Bin Jiang. (2010). Measuring Urban Sprawl Based on Massive Street Nodes and Natural Cities. arXiv (Cornell University).3 indexed citations
17.
Jiang, Bin, Junjun Yin, & Sijian Zhao. (2008). Characterising Human Mobility Patterns over a Large Street Network. arXiv (Cornell University).1 indexed citations
18.
Wang, Hui & Bin Jiang. (2006). A Quantitative Study on the Coordinated Development of Costal city's Ecological Environment and tourist Dconomy. Ganhanqu ziyuan yu huanjing.3 indexed citations
19.
Jiang, Bin & Christophe Claramunt. (1999). A Comparison Study on Space Syntax as a Computer Model of Space.7 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.