Dingxiong Deng

18 total papers · 1.0k total citations
12 papers, 562 citations indexed

About

Dingxiong Deng is a scholar working on Transportation, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Dingxiong Deng has authored 12 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Transportation, 4 papers in Artificial Intelligence and 4 papers in Computer Science Applications. Recurrent topics in Dingxiong Deng's work include Mobile Crowdsensing and Crowdsourcing (4 papers), Indoor and Outdoor Localization Technologies (4 papers) and Human Mobility and Location-Based Analysis (4 papers). Dingxiong Deng is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (4 papers), Indoor and Outdoor Localization Technologies (4 papers) and Human Mobility and Location-Based Analysis (4 papers). Dingxiong Deng collaborates with scholars based in United States, China and Singapore. Dingxiong Deng's co-authors include Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu, Mohammad Asghari, Shuigeng Zhou, Yaguang Li, Gao Cong, Andy Diwen Zhu, Xiaokui Xiao and Jie Xu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Parallel and Distributed Systems and Proceedings of the VLDB Endowment.

In The Last Decade

Dingxiong Deng

12 papers receiving 551 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dingxiong Deng	278	230	145	122	113	12	562
Zhenni Feng	334 1.2×	185 0.8×	44 0.3×	233 1.9×	84 0.7×	17	563
Shenggong Ji	45 0.2×	128 0.6×	112 0.8×	145 1.2×	36 0.3×	21	511
Georgios Chatzimilioudis	256 0.9×	139 0.6×	50 0.3×	151 1.2×	78 0.7×	25	592
Natasa Sarafijanovic-Djukic	72 0.3×	171 0.7×	50 0.3×	121 1.0×	54 0.5×	7	636
Emmanouil Koukoumidis	197 0.7×	192 0.8×	108 0.7×	96 0.8×	19 0.2×	14	645
Julien Eberle	98 0.4×	223 1.0×	30 0.2×	94 0.8×	80 0.7×	17	597
Tingxin Yan	301 1.1×	154 0.7×	19 0.1×	129 1.1×	34 0.3×	11	664
Tong Jin	121 0.4×	100 0.4×	169 1.2×	48 0.4×	20 0.2×	27	646
Sibren Isaacman	57 0.2×	491 2.1×	74 0.5×	95 0.8×	30 0.3×	14	676
Andrea Capponi	495 1.8×	324 1.4×	39 0.3×	206 1.7×	9 0.1×	19	698

Countries citing papers authored by Dingxiong Deng

Since Specialization

Citations

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

Fields of papers citing papers by Dingxiong Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingxiong Deng

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

All Works

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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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