Maria Chang

1.0k citations
49 papers · 484 · h-index 11

Impact in

Papers in

    • Chinese history and philosophy 11
    • China's Ethnic Minorities and Relations 3
    • Italian Fascism and Post-war Society 3
    • Korean Peninsula Historical and Political Studies 3
    • Topic Modeling 6
    • Natural Language Processing Techniques 5
    • AI-based Problem Solving and Planning 4
    • Advanced Text Analysis Techniques 3

Maria Chang

40 papers receiving 426 citations

Peers

Maria Chang
Comparison fields: 5 of 82
  • General Decision Sciences 27
  • Cognitive Neuroscience 89
  • Artificial Intelligence 146
  • Applied Psychology 20
  • Political Science and International Relations 75
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Citations per field
00.5×6.3×
Alan Jern · 1×
Citations per year

Countries citing papers authored by Maria Chang

Since Specialization
Citations

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

Fields of papers citing papers by Maria Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maria 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 Maria Chang Line = papers co-authored together Maria Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007118
2 201985
3 200638
4 202022
5 199219
6 199518
7 199814
8
Ideology and Development: Sun Yat-Sen and the Economic History of Taiwan
198213
9 199612
10
Falun Gong: The End of Days
200411
11 201710
12 20129
13 20198
14 19798
15
Answering Science Exam Questions Using Query Reformulation with Background Knowledge
20197
16 19827
17 20017
18 19957
19
The Taiwan Relations Act and the Defense of the Republic of China
19807
20 20175

About Maria Chang

Maria Chang is a scholar working on Sociology and Political Science, Artificial Intelligence, Computer Vision and Pattern Recognition, Political Science and International Relations and Automotive Engineering, having authored 49 papers that have together received 484 indexed citations. Recurring topics across this work include Chinese history and philosophy (11 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), AI-based Problem Solving and Planning (4 papers), China's Ethnic Minorities and Relations (3 papers), Italian Fascism and Post-war Society (3 papers), Advanced Text Analysis Techniques (3 papers) and Korean Peninsula Historical and Political Studies (3 papers). The work is most often cited by research in General Decision Sciences (27 citations), Cognitive Neuroscience (89 citations), Artificial Intelligence (146 citations), Applied Psychology (20 citations) and Political Science and International Relations (75 citations). Maria Chang has collaborated with scholars based in United States, Israel and New Zealand. Frequent co-authors include George Fein, A. James Gregor, Achille Fokoue, Pavan Kapanipathi, Kartik Talamadupula, Nicholas Mattei, Kenneth D. Forbus, Michael Witbrock, Ibrahim Abdelaziz and Mo Yu. Their work appears in journals such as Asian Survey, Topics in Cognitive Science, The Journal of Asian Studies, Journal of Strategic Studies and IEEE Internet Computing.

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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