Jialin Ju

816 citations
7 papers · 667 indexed · 1 hit paper · h-index 4
Topics
Distributed and Parallel Computing Systems (5 papers)Parallel Computing and Optimization Techniques (4 papers)Embedded Systems Design Techniques (3 papers)
Partner nations
United States

In The Last Decade

Jialin Ju

7 papers receiving 644 citations

Hit Papers

High performance computational chemistry: An overview of ...20002026200820172000200400600

Peers

Jialin Ju
Comparison fields: 5 of 87
  • Atomic and Molecular Physics, and Optics 253
  • Materials Chemistry 210
  • Organic Chemistry 105
  • Electrical and Electronic Engineering 99
  • Inorganic Chemistry 99
Replace Adrian T. Wong with:
Adrian T. Wong Australia
Ricky A. Kendall United States
Valéry Weber Switzerland
Graham D. Fletcher United States
Ross M. Dickson Canada
Michael Wrinn United States
B. W. Lucas Australia
B. Scott Fales United States
Larry P. Davis United States
Jeffrey L. Tilson United States
Jialin Ju relative to Adrian T. Wong Australia Adrian T. Wong's profile →
Citations per field
00.5×1.5×
Adrian T. Wong · 1×
Citations per year

Countries citing papers authored by Jialin Ju

Since Specialization
Citations

This map shows the geographic impact of Jialin Ju'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 Jialin Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialin Ju more than expected).

Fields of papers citing papers by Jialin Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jialin Ju. 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 Jialin Ju. The network helps show where Jialin Ju may publish in the future.

Co-authorship network of co-authors of Jialin Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Jialin Ju. A scholar is included among the top collaborators of Jialin Ju 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 Jialin Ju. Jialin Ju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 11
3 1
4 6
5
Building an Application Domain Specific Programming Framework for Computational Fluid Dynamics Calculations on Parallel Computers.
1
6
High performance computational chemistry: An overview of NWChem a distributed parallel applicationbreakdown →
638
7 9

About Jialin Ju

Jialin Ju is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems and Management, having authored 7 papers that have together received 667 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Embedded Systems Design Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (86 citations), Computational Mathematics (5 citations) and Physical and Theoretical Chemistry (73 citations). Jialin Ju has collaborated with scholars based in United States. Frequent co-authors include Jarek Nieplocha, Edoardo Aprà, Robert J. Harrison, Eric J. Bylaska, David E. Bernholdt, Ricky A. Kendall, George I. Fann, Tjerk P. Straatsma, Theresa L. Windus and Adrian T. Wong. Their work appears in journals such as Computer Physics Communications, Cluster Computing and PPSC.

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.

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