Belinda Wu

418 total citations
11 papers, 258 citations indexed

About

Belinda Wu is a scholar working on Management Science and Operations Research, Demography and Transportation. According to data from OpenAlex, Belinda Wu has authored 11 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management Science and Operations Research, 6 papers in Demography and 4 papers in Transportation. Recurrent topics in Belinda Wu's work include demographic modeling and climate adaptation (7 papers), Insurance, Mortality, Demography, Risk Management (5 papers) and Migration, Aging, and Tourism Studies (4 papers). Belinda Wu is often cited by papers focused on demographic modeling and climate adaptation (7 papers), Insurance, Mortality, Demography, Risk Management (5 papers) and Migration, Aging, and Tourism Studies (4 papers). Belinda Wu collaborates with scholars based in United Kingdom, Netherlands and United States. Belinda Wu's co-authors include Mark Birkin, Philip Rees, Andy Turner, Paul Townend, Goni Halevi, Ore Gottlieb, Jie Xu, Alexander Tchekhovskoy, David R. Aguilera-Dena and Junaid Arshad and has published in prestigious journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Transport Policy and The Astrophysical Journal Letters.

In The Last Decade

Belinda Wu

11 papers receiving 238 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Belinda Wu United Kingdom	7	180	74	48	43	36	11	258
Kirk Harland United Kingdom	8	135 0.8×	190 2.6×	114 2.4×	16 0.4×	17 0.5×	10	314
Paul A. Salvini Canada	3	300 1.7×	63 0.9×	20 0.4×	75 1.7×	20 0.6×	5	404
Diego Bogado Tomasiello Brazil	11	327 1.8×	9 0.1×	26 0.5×	126 2.9×	32 0.9×	22	386
Abu Toasin Oakil Netherlands	10	404 2.2×	11 0.1×	33 0.7×	38 0.9×	55 1.5×	16	447
TA Theo Arentze Netherlands	10	219 1.2×	10 0.1×	9 0.2×	36 0.8×	19 0.5×	57	296
Sigrun Beige Switzerland	8	272 1.5×	6 0.1×	34 0.7×	18 0.4×	53 1.5×	22	312
Guido Rindsfüser Germany	5	382 2.1×	7 0.1×	16 0.3×	43 1.0×	34 0.9×	5	421
Emmanuel Kemel France	8	56 0.3×	45 0.6×	6 0.1×	19 0.4×	19 0.5×	18	237
Carole Turley Voulgaris United States	11	268 1.5×	10 0.1×	9 0.2×	42 1.0×	37 1.0×	27	328
Keone Kelobonye Australia	7	240 1.3×	4 0.1×	26 0.5×	86 2.0×	26 0.7×	14	315

Countries citing papers authored by Belinda Wu

Since Specialization

Citations

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

Fields of papers citing papers by Belinda Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Belinda Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Halevi, Goni, Belinda Wu, Philipp Mösta, et al.. (2023). Density Profiles of Collapsed Rotating Massive Stars Favor Long Gamma-Ray Bursts. The Astrophysical Journal Letters. 944(2). L38–L38. 9 indexed citations

2.

Reel, Smarti, et al.. (2018). Identifying Tweets from Syria Refugees Using a Random Forest Classifier. Open Research Online (The Open University). 1277–1280. 3 indexed citations

3.

Wu, Belinda & Mark Birkin. (2013). Moses: Planning for the Next Generation. International Review for Spatial Planning and Sustainable Development. 1(1). 17–28. 1 indexed citations

4.

Wu, Qiong, et al.. (2012). The minimum cost-cycle expansion law of urban spatial morphology: A case study of Kunming in China. Geographical Research. 1 indexed citations

5.

Birkin, Mark & Belinda Wu. (2011). A Review of Microsimulation and Hybrid Agent-Based Approaches. 51–68. 31 indexed citations

6.

Wu, Belinda, Mark Birkin, & Philip Rees. (2010). A Dynamic MSM With Agent Elements for Spatial Demographic Forecasting. Social Science Computer Review. 29(1). 145–160. 16 indexed citations

7.

Wu, Belinda, Mark Birkin, Philip Rees, et al.. (2010). Moses: An Innovative Way to Model Heterogeneity in Complex Social Systems. 366–370. 1 indexed citations

8.

Birkin, Mark, Andy Turner, Belinda Wu, et al.. (2009). MoSeS. Social Science Computer Review. 27(4). 493–508. 14 indexed citations

9.

Townend, Paul, et al.. (2009). MoSeS: Modelling and Simulation for e-Social Science. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 367(1898). 2781–2792. 12 indexed citations

10.

Wu, Belinda, Mark Birkin, & Philip Rees. (2008). A spatial microsimulation model with student agents. Computers Environment and Urban Systems. 32(6). 440–453. 38 indexed citations

11.

Wu, Belinda, et al.. (2003). A PTAL approach to measuring changes in bus service accessibility. Transport Policy. 10(4). 307–320. 132 indexed citations

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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