Q.B. Chung

29 papers receiving 418 citations

Peers

Q.B. Chung
Comparison fields: 5 of 89
  • Management Information Systems 145
  • Management Science and Operations Research 84
  • Strategy and Management 78
  • Information Systems 71
  • Information Systems and Management 66
Replace David Parmenter with:
David Parmenter Latvia
Tsung‐Shin Hsu Taiwan
Antoni‐Lluís Mesquida Spain
Ip‐Shing Fan United Kingdom
Harry Martin Netherlands
Andrew J. Czuchry United States
Antònia Mas Spain
John K. Visich United States
Hussain Bux Marri Pakistan
Roy Wendler Germany
Q.B. Chung relative to David Parmenter Latvia David Parmenter's profile →
Citations per field
00.5×
David Parmenter · 1×
Citations per year

Countries citing papers authored by Q.B. Chung

Since Specialization
Citations

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

Fields of papers citing papers by Q.B. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Q.B. Chung. 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 Q.B. Chung. The network helps show where Q.B. Chung may publish in the future.

Co-authorship network of co-authors of Q.B. Chung

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 32
2 27
3 20
4 4
5 20
6
Sage on the Stage in the Digital Age: The Role of Online Lecture in Distance Learning.
6
7 61
8 1
9 69
10 20
11 50
12 4
13
Note on a Comparative Evaluation of Nine Well-Known Algorithms for Solving the Cell Formulation Problem in Group Technology
1
14 4
15 7
16 14
17 5
18 11
19 15
20 8

About Q.B. Chung

Q.B. Chung is a scholar working on Management Information Systems, Medical Laboratory Technology and Software, having authored 29 papers that have together received 469 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (10 papers), Advanced Database Systems and Queries (4 papers) and ERP Systems Implementation and Impact (4 papers). The work is most often cited by research in Management Information Systems (145 citations), Medical Laboratory Technology (21 citations) and Information Systems and Management (66 citations). Q.B. Chung has collaborated with scholars based in United States, South Korea and Qatar. Frequent co-authors include William P. Wagner, Wayne G. Bremser, Wenhong Luo, Robert L. Nydick, Matthew J. Liberatore, Elliot B. Sloane, James Otto, Robert M. O’Keefe, Han Li and Ranjit Bose. Their work appears in journals such as Expert Systems with Applications, Journal of the Operational Research Society and Information & Management.

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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