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.
A modeling approach for analysis of coupled multiphase fluid flow, heat transfer, and deformation in fractured porous rock
2002726 citationsJonny Rutqvist, Chin‐Fu Tsang et al.profile →
Stress-dependent permeability of fractured rock masses: a numerical study
2004448 citationsChin‐Fu Tsang, Lanru Jing et al.profile →
The use of discrete fracture networks for modelling coupled geomechanical and hydrological behaviour of fractured rocks
This map shows the geographic impact of Chin‐Fu Tsang'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 Chin‐Fu Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin‐Fu Tsang more than expected).
This network shows the impact of papers produced by Chin‐Fu Tsang. 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 Chin‐Fu Tsang. The network helps show where Chin‐Fu Tsang may publish in the future.
Co-authorship network of co-authors of Chin‐Fu Tsang
This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Fu Tsang.
A scholar is included among the top collaborators of Chin‐Fu Tsang 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 Chin‐Fu Tsang. Chin‐Fu Tsang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Guglielmi, Yves, Paul Cook, Patrick Dobson, et al.. (2021). Estimating Stress From Three-Dimensional Borehole Displacements Induced by Fluid Injection in Different Types of Fractured or Faulted Rocks.2 indexed citations
5.
Juhlin, Christopher, Henning Lorenz, Bjarne Almqvist, et al.. (2015). ICDP drilling in the Scandinavian Caledonides: Plans for COSC-2. EGUGA. 3027.1 indexed citations
6.
Guglielmi, Yves, et al.. (2014). Step-Rate Injection Method for Fracture In-Situ Properties (SIMFIP): Monitoring Fractures Stimulation Efficiency.1 indexed citations
7.
Niemi, Auli, Jacob Bensabat, Jesús Carrera, et al.. (2009). MUSTANG - a multiple space and time scale approach for the quantification of deep saline formations for CO₂ storage. EGU General Assembly Conference Abstracts. 9(1). 12655–7.1 indexed citations
8.
Doughty, Christine, et al.. (2008). Application of direct-fitting, mass-integral, and multi-rate methods to analysis of flowing \nfluid electric conductivity logs from Horonobe, Japan. eScholarship (California Digital Library).17 indexed citations
9.
Rutqvist, Jonny, Jens Birkhölzer, Frédéric Cappa, Curtis M. Oldenburg, & Chin‐Fu Tsang. (2006). Shear-slip analysis in multiphase fluid-flow reservoir engineeringap plications using TOUGH-FLAC. University of North Texas Digital Library (University of North Texas).7 indexed citations
10.
Tsang, Chin‐Fu. (2006). International Symposium on Site Characterization for CO2 Geological Storage. University of North Texas Digital Library (University of North Texas).1 indexed citations
11.
Rutqvist, Jonny, Jens Birkhölzer, Frédéric Cappa, & Chin‐Fu Tsang. (2006). Estimating maximum sustainable injection pressure during geological sequestration of CO2 using coupled fluid flow and geomechanical fault-slip analysis. University of North Texas Digital Library (University of North Texas).3 indexed citations
12.
Rutqvist, Jonny, M. Chijimatsu, Lanru Jing, et al.. (2004). Numerical study of the THM effects on the near-field safety of a hypothetical nuclear waste \nrepository - BMT1 of the DECOVALEX III project. Part 3: Effects of THM coupling in sparsely \nfractured rocks. eScholarship (California Digital Library).64 indexed citations
13.
Tsang, Chin‐Fu, et al.. (2004). Geohydromechanical Processes in the Excavation Damaged Zone in Crystalline Rock, Rock Salt, and Indurated and Plastic Clays. University of North Texas Digital Library (University of North Texas). 42(1).3 indexed citations
14.
Rutqvist, Jonny, Chin‐Fu Tsang, & Ove Stephansson. (2000). Uncertainty in the maximum principal stress estimated from hydraulic fracturing Measurements due to the presence of the induced fracture. Lawrence Berkeley National Laboratory.1 indexed citations
15.
Stephansson, Ove, Lanru Jing, & Chin‐Fu Tsang. (1996). Coupled thermo-hydro-mechanical processes of fractured media : mathematical and experimental studies : recent developments of DECOVALEX project for radioactive waste repositories. Elsevier eBooks.19 indexed citations
16.
Apps, John A. & Chin‐Fu Tsang. (1996). Deep injection disposal of hazardous and industrial waste : scientific and engineering aspects. Academic Press eBooks.11 indexed citations
17.
Tsang, Chin‐Fu, et al.. (1994). Borehole Fluid Dynamic Temperature Logging to Evaluate Fracture Hydraulic Properties. High Level Radioactive Waste Management. 2655–2659.1 indexed citations
18.
Tsang, Chin‐Fu, et al.. (1991). Coupled behavior of rock joints. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts. 28(2-3). A150–A150.2 indexed citations
19.
Tsang, Chin‐Fu. (1988). TRACER TRAVEL TIME AND MODEL VALIDATION. University of North Texas Digital Library (University of North Texas).6 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.