Mohan Yang

943 total citations
16 papers, 263 citations indexed

About

Mohan Yang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mohan Yang has authored 16 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Mohan Yang's work include Advanced Database Systems and Queries (10 papers), Data Management and Algorithms (7 papers) and Logic, Reasoning, and Knowledge (5 papers). Mohan Yang is often cited by papers focused on Advanced Database Systems and Queries (10 papers), Data Management and Algorithms (7 papers) and Logic, Reasoning, and Knowledge (5 papers). Mohan Yang collaborates with scholars based in United States, China and Italy. Mohan Yang's co-authors include Carlo Zaniolo, Tyson Condie, Matteo Interlandi, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti, Haixun Wang, Yumei Li, Yanjun Su and Jing Zhang and has published in prestigious journals such as Information Sciences, Agricultural and Forest Meteorology and Proceedings of the VLDB Endowment.

In The Last Decade

Mohan Yang

16 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohan Yang United States	9	138	104	85	74	69	16	263
Manos Karpathiotakis Greece	12	287 2.1×	131 1.3×	145 1.7×	161 2.2×	78 1.1×	26	441
Roland Ritsch Germany	6	191 1.4×	73 0.7×	51 0.6×	142 1.9×	42 0.6×	8	304
Norbert Widmann Germany	6	204 1.5×	77 0.7×	52 0.6×	150 2.0×	44 0.6×	10	320
Sébastien Jourdain United States	7	99 0.7×	40 0.4×	39 0.5×	16 0.2×	93 1.3×	13	250
Jeff LeFevre United States	7	214 1.6×	35 0.3×	138 1.6×	65 0.9×	46 0.7×	18	251
K. Ashwin Kumar United States	7	186 1.3×	61 0.6×	130 1.5×	38 0.5×	44 0.6×	9	242
Erik Hoel United States	10	203 1.5×	60 0.6×	103 1.2×	296 4.0×	66 1.0×	34	379
Neha Narkhede United States	6	135 1.0×	65 0.6×	113 1.3×	33 0.4×	25 0.4×	7	246

Countries citing papers authored by Mohan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Mohan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohan Yang

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

All Works

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16 of 16 papers shown

Li, Yumei, Yanjun Su, Xiaoxia Zhao, et al.. (2020). Retrieval of tree branch architecture attributes from terrestrial laser scan data using a Laplacian algorithm. Agricultural and Forest Meteorology. 284. 107874–107874. 39 indexed citations

Gu, Jiaqi, et al.. (2019). RaSQL. 467–484. 20 indexed citations

Zaniolo, Carlo, et al.. (2018). Declarative BigData Algorithms via Aggregates and Relational Database Dependencies.. 5 indexed citations

Condie, Tyson, et al.. (2018). Scaling-up reasoning and advanced analytics on BigData. Theory and Practice of Logic Programming. 18(5-6). 806–845. 8 indexed citations

Yang, Mohan. (2017). Declarative Languages and Scalable Systems for Graph Analytics and Knowledge Discovery. eScholarship (California Digital Library). 3 indexed citations

Zaniolo, Carlo, et al.. (2016). The Magic of Pushing Extrema into Recursion: Simple, Powerful Datalog Programs.. 1 indexed citations

Yang, Mohan, et al.. (2016). Scaling up the performance of more powerful Datalog systems on multicore machines. The VLDB Journal. 26(2). 229–248. 17 indexed citations

Yang, Mohan, et al.. (2016). Big Data Analytics with Datalog Queries on Spark. PubMed. 2016. 1135–1149. 76 indexed citations

Yang, Mohan, et al.. (2015). Parallel Bottom-Up Evaluation of Logic Programs: DeALS on Shared-Memory Multicore Machines. International Conference on Lightning Protection. 6 indexed citations

10.

Yang, Mohan, et al.. (2015). Optimizing recursive queries with monotonic aggregates in DeALS. 867–878. 27 indexed citations

11.

Yang, Mohan, Bolin Ding, Surajit Chaudhuri, & Kaushik Chakrabarti. (2014). Finding patterns in a knowledge base using keywords to compose table answers. Proceedings of the VLDB Endowment. 7(14). 1809–1820. 27 indexed citations

12.

Yang, Mohan & Carlo Zaniolo. (2014). Main memory evaluation of recursive queries on multicore machines. 251–260. 9 indexed citations

13.

Duan, Ming, et al.. (2014). Distinguishing properties and applications of higher order derivatives of Boolean functions. Information Sciences. 271. 224–235. 4 indexed citations

14.

Zeng, Kai, Mohan Yang, Barzan Mozafari, & Carlo Zaniolo. (2013). Complex pattern matching in complex structures: The XSeq approach. 1328–1331. 1 indexed citations

15.

Yang, Mohan, Haixun Wang, Haiquan Chen, & Wei‐Shinn Ku. (2011). Querying uncertain data with aggregate constraints. 817–828. 9 indexed citations

16.

Yang, Mohan, et al.. (2010). Optimizing content freshness of relations extracted from the web using keyword search. 819–830. 11 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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