Won Chang

2.3k citations
59 papers · 1.5k · h-index 20

Impact in

Papers in

Won Chang

55 papers receiving 1.5k citations

Peers

Won Chang
Comparison fields: 5 of 108
  • Condensed Matter Physics 361
  • General Economics, Econometrics and Finance 190
  • Atomic and Molecular Physics, and Optics 636
  • Atmospheric Science 241
  • Global and Planetary Change 207
Replace L. De Cesare with:
L. De Cesare Italy
Hiroshi Yamada Japan
Ren Zhang China
Borko Stošić Brazil
S. S. Manna India
Gilney Figueira Zebende Brazil
Hideaki Ogawa Japan
Jakob Rhyner Switzerland
Ofer Malcai Israel
Ling‐Jun Wang China
Won Chang relative to L. De Cesare Italy L. De Cesare's profile →
Citations per field
00.5×10×16×
L. De Cesare · 1×
Citations per year

Countries citing papers authored by Won Chang

Since Specialization
Citations

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

Fields of papers citing papers by Won Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015291
2 2015151
3 2013141
4 2002132
5 201675
6 201672
7 201258
8 200756
9 200046
10 202142
11 202337
12 200235
13 201535
14 201825
15
Capacity Bounds for Alternating Two-Path Relay Channels
200723
16 202121
17 201320
18 202319
19 201419
20 202219

About Won Chang

Won Chang is a scholar working on Atmospheric Science, Environmental Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Economics and Econometrics, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cryospheric studies and observations (8 papers), Global trade and economics (6 papers), Soil Geostatistics and Mapping (5 papers), Bayesian Methods and Mixture Models (4 papers), Topological Materials and Phenomena (4 papers), Climate variability and models (4 papers), Arctic and Antarctic ice dynamics (4 papers) and Physics of Superconductivity and Magnetism (4 papers). The work is most often cited by research in Condensed Matter Physics (361 citations), General Economics, Econometrics and Finance (190 citations), Atomic and Molecular Physics, and Optics (636 citations), Atmospheric Science (241 citations) and Global and Planetary Change (207 citations). Won Chang has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include L. Alan Winters, Jesper Nygård, Thomas Sand Jespersen, S. M. Albrecht, Ferdinand Kuemmeth, Peter Krogstrup, C. M. Marcus, Murali Haran, Vladimir Manucharyan and P. J. Applegate. Their work appears in journals such as Geoscientific model development, Biometrics, Journal of International Economics, Journal of Dairy Science and Physical Review Letters.

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.

Explore authors with similar magnitude of impact