Bay-Wei Chang

1.1k citations
19 papers · 717 indexed · h-index 11

Impact in

Papers in

Journals
LISP and Symbolic Computation (2 papers)World Wide Web (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)International Conference on Management of Data (1 paper)
Partner nations
United StatesJapanFrance

In The Last Decade

Bay-Wei Chang

19 papers receiving 623 citations

Peers

Bay-Wei Chang
Comparison fields: 5 of 57
  • Human-Computer Interaction 173
  • Software 67
  • Information Systems 295
  • Computer Vision and Pattern Recognition 214
  • Computer Science Applications 42
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Bay-Wei Chang

Since Specialization
Citations

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

Fields of papers citing papers by Bay-Wei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bay-Wei Chang. 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 Bay-Wei Chang. The network helps show where Bay-Wei Chang may publish in the future.

Co-authors

The 18 scholars most cited alongside Bay-Wei Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bay-Wei Chang Line = papers co-authored together Bay-Wei Chang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200525
2 20032
3 2003106
4
Report on the Mobile Search Workshop at WWW 2002
20021
5 200299
6 200251
7 200046
8
Fluidly Revealing Information in Fluid Documents
20002
9 199865
10 199817
11 199840
12 19972
13
Objective reality for self: concreteness and animation in the seity user interface
19961
14
Getting close to objects
19955
15
Getting Close to Objects: Object-Focused Programming Environments
19957
16 1993144
17
The use-mention perspective on programming for the interface
19925
18 199165
19 199134

About Bay-Wei Chang

Bay-Wei Chang is a scholar working on Human-Computer Interaction, Information Systems, Human Factors and Ergonomics, Computer Vision and Pattern Recognition and Software, having authored 19 papers that have together received 717 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (8 papers), Usability and User Interface Design (5 papers), Data Visualization and Analytics (4 papers), Video Analysis and Summarization (4 papers), Software Engineering Research (3 papers), Interactive and Immersive Displays (3 papers), Advanced Text Analysis Techniques (3 papers) and Logic, programming, and type systems (3 papers). The work is most often cited by research in Human-Computer Interaction (173 citations), Software (67 citations), Information Systems (295 citations), Computer Vision and Pattern Recognition (214 citations) and Computer Science Applications (42 citations). Bay-Wei Chang has collaborated with scholars based in United States, Japan and France. Frequent co-authors include David Ungar, Monika Henzinger, Polle T. Zellweger, Jock D. Mackinlay, Sergey Brin, Brian Milch, Matthias Rühl, Krishna Bharat, Urs Hölzle and Craig Chambers. Their work appears in journals such as LISP and Symbolic Computation, World Wide Web, Infoscience (Ecole Polytechnique Fédérale de Lausanne), Infoscience (Ecole Polytechnique Fédérale de Lausanne) and International Conference on Management of Data.

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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