Francis Chang

635 total citations
11 papers, 455 citations indexed

About

Francis Chang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Education. According to data from OpenAlex, Francis Chang has authored 11 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 2 papers in Hardware and Architecture and 2 papers in Education. Recurrent topics in Francis Chang's work include Peer-to-Peer Network Technologies (6 papers), Network Traffic and Congestion Control (4 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). Francis Chang is often cited by papers focused on Peer-to-Peer Network Technologies (6 papers), Network Traffic and Congestion Control (4 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). Francis Chang collaborates with scholars based in United States and Canada. Francis Chang's co-authors include Wu-chang Feng, Wu‐chi Feng, Jonathan Walpole, Kang Li, Huaiyu Liu, Mic Bowman, Daniel S. Berger, Kang Li, C. Mic Bowman and Craig Scott and has published in prestigious journals such as ACM Computing Surveys, IEEE/ACM Transactions on Networking and ACM SIGCOMM Computer Communication Review.

In The Last Decade

Francis Chang

9 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francis Chang United States	7	415	78	78	62	46	11	455
Tina Wong United States	10	395 1.0×	53 0.7×	69 0.9×	53 0.9×	90 2.0×	24	520
Mohamed Ahmed Canada	9	300 0.7×	16 0.2×	72 0.9×	51 0.8×	58 1.3×	22	461
Daniel Waddington United States	10	230 0.6×	82 1.1×	81 1.0×	17 0.3×	70 1.5×	32	304
Ghaleb Abdulla United States	9	722 1.7×	36 0.5×	66 0.8×	16 0.3×	37 0.8×	12	771
Paulo Sérgio Almeida Portugal	11	342 0.8×	50 0.6×	78 1.0×	6 0.1×	23 0.5×	36	384
T. Gross Switzerland	8	504 1.2×	38 0.5×	47 0.6×	18 0.3×	159 3.5×	11	538
Bradley Hopkins Australia	5	329 0.8×	108 1.4×	70 0.9×	73 1.2×	73 1.6×	11	459
Nadi Sarrar Germany	9	443 1.1×	74 0.9×	110 1.4×	8 0.1×	119 2.6×	14	473
Nitin Sharma United States	5	501 1.2×	19 0.2×	64 0.8×	30 0.5×	40 0.9×	6	544
Evi Nemeth United States	10	249 0.6×	35 0.4×	108 1.4×	18 0.3×	101 2.2×	22	314

Countries citing papers authored by Francis Chang

Since Specialization

Citations

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

Fields of papers citing papers by Francis Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Francis Chang. A scholar is included among the top collaborators of Francis Chang 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 Francis Chang. Francis Chang 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.

Liu, Huaiyu, Mic Bowman, & Francis Chang. (2012). Survey of state melding in virtual worlds. ACM Computing Surveys. 44(4). 1–25. 18 indexed citations

2.

Hsu, Chunyi, Francis Chang, & Yu‐Sheng Lo. (2011). Promoting Student's Learning Achievement and Efficiency on e- Learning. 1 indexed citations

3.

Chang, Francis, C. Mic Bowman, & Wu‐chi Feng. (2010). XPU: A Distributed Architecture for Metaverses. PDXScholar (Portland State University). 6 indexed citations

4.

Tsai, Chung-Hsien, et al.. (2007). The Study of Questioning Skills on Teaching Improvement. The International Journal of Learning Annual Review. 12(8). 141–146. 1 indexed citations

5.

Chang, Francis, Wu-chang Feng, & Kang Li. (2005). Approximate caches for packet classification. 4. 2196–2207. 106 indexed citations

6.

Feng, Wu-chang, Francis Chang, Wu‐chi Feng, & Jonathan Walpole. (2005). A traffic characterization of popular on-line games. IEEE/ACM Transactions on Networking. 13(3). 488–500. 133 indexed citations

7.

Li, Kang, Francis Chang, Daniel S. Berger, & Wu-chang Feng. (2004). Architectures for packet classification caching. 111–117. 14 indexed citations

8.

Chang, Francis & Wu-chang Feng. (2003). Modeling player session times of on-line games. 23–26. 22 indexed citations

9.

Chang, Francis, Wu-chang Feng, Wu‐chi Feng, & Jonathan Walpole. (2002). Provisioning on-line games. ACM SIGCOMM Computer Communication Review. 32(3). 18–18. 100 indexed citations

10.

Feng, Wu-chang, Francis Chang, Wu‐chi Feng, & Jonathan Walpole. (2002). Provisioning on-line games. 151–151. 52 indexed citations

11.

Michell, Paul, et al.. (1994). A Memorial for Bosnia: Framework of Legal Arguments Concerning the Lawfulness of the Maintenance of the United Nations Security Council's Arms Embargo on Bosnia and Herzegovina. SSRN Electronic Journal. 2 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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